NCEP GDAS/FNL 0.25 Degree Global Tropospheric Analyses and Forecast Grids
d083003
| DOI: 10.5065/D65Q4T4Z
Citation Statistics for this Dataset:
This dataset has been cited 178 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Bayraktar, O. M., and A. Mutlu, 2024: Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters. Air Quality, Atmosphere and Health, 17, 2277-2305, https://doi.org/10.1007/s11869-024-01573-8
Bello-Millan, F. J., J. Palacios, P. Gutierrez -Castillo, and L. Parras, 2024: Simulations of a tornadic supercell event in the south of Spain: Sensitivity to initial and boundary conditions and microphysics parameterizations. Atmospheric Research, 300, https://doi.org/10.1016/j.atmosres.2024.107262
Bessagnet, B., E. Bossioli, A. Cholakian, M. G. Vivanco, K. Cuvelier, M. R. Theobald, V. Gil, L. Menut, A. de Meij, E. Pisoni, and P. Thunis, 2024: Impact of air quality model settings for the evaluation of emission reduction strategies to curb air pollution. Environmental Research, 255, https://doi.org/10.1016/j.envres.2024.119112
Chiquetto, J. B., P. G. Machado, D. Mouette, and F. N. Ribeiro, 2024: Air quality improvements from a transport modal change in the Sao Paulo megacity. Science of the Total Environment, 945, https://doi.org/10.1016/j.scitotenv.2024.173968
Chou, Y., and P. K. Wang, 2024: Convective Gravity Waves in the Stratosphere and the Mesosphere: A Case Study of Airglow Over West Africa Using the Weather Research and Forecasting Model. Journal of Geophysical Research: Atmospheres, 129(23), https://doi.org/10.1029/2024jd041725
De Moliner, G., P. Giani, G. Lonati, and P. Crippa, 2024: Sensitivity of multiscale large Eddy simulations for wind power calculations in complex terrain. Applied Energy, 364, https://doi.org/10.1016/j.apenergy.2024.123195
Deng, S., S. Chen, Y. Sui, and Z. Hu, 2024: Intensification of an Autumn Tropical Cyclone by Offshore Wind Farms in the Northern South China Sea. Journal of Geophysical Research: Atmospheres, 129, https://doi.org/10.1029/2024JD041489
Deroubaix, A., J. J. Hoelzemann, R. Y. Ynoue, T. Toledo de Almeida Albuquerque, R. C. Alves, M. de Fatima Andrade, W. L. Andreão, I. Bouarar, E. de Souza Fernandes Duarte, H. Elbern, P. Franke, A. C. Lange, P. Lichtig, L. Lugon, L. D. Martins, G. de Arruda Moreira, R. Pedruzzi, N. Rosario, and G. Brasseur, 2024: Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo. Journal of Geophysical Research: Atmospheres, 129(1), https://doi.org/10.1029/2022JD038179
Diallo, M., L. Letang, B. Totel, P. Poncet, and P. Y. Andri P, 2024: Wind Speed Ramp Rate Predictions Using Wind Farm SCADA Data Assimilation and a WRF Ensemble. Journal of Physics: Conference Series, Institute of Physics, https://doi.org/10.1088/1742-6596/2745/1/012015
Fajary, F. R., H. S. Lee, V. Bhanage, R. P. Pradana, T. Kubota, and H. Nimiya, 2024: Evaluating MPAS-A Performance for Mesoscale Simulation in a Tropical Region: A Case Study of Extreme Heat in Jakarta, Indonesia. Atmosphere, 15(10), https://doi.org/10.3390/atmos15101202
Falasca, S., M. Zinzi, A. M. Siani, G. Curci, L. Ding, and M. Santamouris, 2024: Investigating the effects of the greenery increase on air temperature, ventilation and cooling energy demand in Melbourne with the Weather Research and Forecasting model and Local Climate Zones. Science of the Total Environment, 953, https://doi.org/10.1016/j.scitotenv.2024.176016
Fang, T., Y. Gu, and S. H. Yim, 2024: Assessing local and transboundary fine particulate matter pollution and sectoral contributions in Southeast Asia during haze months of 2015-2019. Science of The Total Environment, 912, 169051, https://doi.org/10.1016/j.scitotenv.2023.169051
Firdaus, I. M., N. J. Trilaksono, and T. Yamazaki, 2024: Mechanism of initiation and regeneration of convective cell in Bandung Basin, Indonesia. Geoscience Letters, 11(1), https://doi.org/10.1186/s40562-024-00359-1
Giani, P., and P. Crippa, 2024: On the Sensitivity of Large-Eddy Simulations of the Atmospheric Boundary Layer Coupled with Realistic Large-Scale Dynamics. Monthly Weather Review, 152(4), 1057-1075, https://doi.org/10.1175/MWR-D-23-0101.1
Huprikar, A. S., A. M. Stansfield, and K. A. Reed, 2024: A storyline analysis of Hurricane Irma's precipitation under various levels of climate warming. Environmental Research Letters, 19(1), https://doi.org/10.1088/1748-9326/ad0c89
Li, Z., J. Peng, L. Zhang, and J. Guan, 2024: Exploring the Differences in Kinetic Energy Spectra between the NCEP FNL and ERA5 Datasets. Journal of the Atmospheric Sciences, 81(2), 363-380, https://doi.org/10.1175/jas-d-23-0043.1
Lichiheb, N., F. Ngan, and M. Cohen, 2024: Improving the atmospheric dispersion forecasts over Washington, DC using UrbanNet observations: A study with HYSPLIT model. Urban Climate, 55, https://doi.org/10.1016/j.uclim.2024.101948
Liu, Y., S. Iizuka, J. Yamasaki, and C. Takatori, 2024: Effectiveness of mitigation measures for future thermal environments: Comparison between inland and coastal cities in China. Thermal Science and Engineering Progress, 55, 102894, https://doi.org/10.1016/j.tsep.2024.102894
Liu, Y., S. Iizuka, and C. Takatori, 2024: A numerical investigation of the cooling effects of urban green parks on future thermal environment in Dalian, China. Thermal Science and Engineering Progress, 53, 102771, https://doi.org/10.1016/j.tsep.2024.102771
Macatangay, R., S. Rattanasoon, T. Butterley, S. H. Bran, T. Sonkaew, B. Sukaum, D. Sookjai, M. Panya, and T. Supasri, 2024: Seeing and turbulence profile simulations over complex terrain at the Thai National Observatory using a chemistry-coupled regional forecasting model. Monthly Notices of the Royal Astronomical Society, 530(2), 1413-1423, https://doi.org/10.1093/mnras/stae727
Magnaye, A. M., and H. Kusaka, 2024: Potential effect of urbanization on extreme heat events in Metro Manila Philippines using WRF-UCM. Sustainable Cities and Society, 110, https://doi.org/10.1016/j.scs.2024.105584
Mancheno, G., J. Castro-Molinare, and H. Jorquera, 2024: Predictive modeling the effect of Local Climate Zones (LCZ) on the urban meteorology in a tropical andean area. Modeling Earth Systems and Environment, 10, 6133-6153, https://doi.org/10.1007/s40808-024-02121-0
Mejia, J. F., J. J. Henao, and E. Eslami, 2024: Role of Clouds in the Urban Heat Island and Extreme Heat: Houston-Galveston Metropolitan Area Case. Journal of Geophysical Research: Atmospheres, 129(17), https://doi.org/10.1029/2024JD041243
Meng, D., Z. Tan, J. Li, Z. Ma, and Y. Chen, 2024: Added Value of Three-Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model. Journal of Geophysical Research: Atmospheres, 129(6), https://doi.org/10.1029/2024JD040736
Mondal, U., A. Kumar, S. K. Panda, D. Sharma, and S. Das, 2024: Comprehensive study of thunderstorm indices threshold favorable for thunderstorms during monsoon season using WRF-ARW model and ERA5 over India. Geoenvironmental Disasters, 11(1), https://doi.org/10.1186/s40677-023-00262-5
Mondal, U., S. K. Panda, T. Terao, M. Kumar, and D. Sharma, 2024: Evaluating the performance and detection efficiency of Weather Research Forecasting model with lightning parameterization schemes for identifying lightning hotspots over Northeast region in India. Climate Dynamics, 62, 10381-10404, https://doi.org/10.1007/s00382-024-07457-y
O'Regan, A. C., H. Grythe, S. Hellebust, S. Lopez-Aparicio, C. O'Dowd, P. D. Hamer, G. Sousa Santos, and M. M. Nyhan, 2024: Data fusion for enhancing urban air quality modeling using large-scale citizen science data. Sustainable Cities and Society, 116, 105896, https://doi.org/10.1016/j.scs.2024.105896
Peng, W., B. Zhu, H. Kang, K. Chen, W. Lu, C. Lu, N. Kang, J. Hu, H. Chen, and H. Liao, 2024: Inconsistent 3-D Structures and Sources of Sulfate Ammonium and Nitrate Ammonium Aerosols During Cold Front Episodes. Journal of Geophysical Research: Atmospheres, 129, https://doi.org/10.1029/2023JD039958
Sahu, P. L., S. Pattnaik, and P. Rath, 2024: Factors Driving Intensification of Pre-Monsoon Tropical Cyclones Over the Bay of Bengal: A Comparative Study of Cyclones Fani and Yaas. Journal of the Indian Society of Remote Sensing, https://doi.org/10.1007/s12524-024-01930-1
Shao, M., X. Liu, S. Lv, Q. Dai, and Q. Mu, 2024: The Importance of Local Thermal Circulations in PM2.5 Formation in a River Valley: A Case Study From the Lower Yangtze River, China. Journal of Geophysical Research: Atmospheres, 129(2), https://doi.org/10.1029/2023jd039717
Shen, H., H. Tan, Y. Lu, Y. Gao, Y. Xia, and Z. Cai, 2024: The combination of detection and simulation for the distribution and sourcing of microplastics in Shing Mun River estuary, Hong Kong. Science of the Total Environment, 946, https://doi.org/10.1016/j.scitotenv.2024.174305
Sinha, S., R. Fu, S. Bailey, J. B. Hoagg, and A. Martin, 2024: Utilizing a retrospective cost adaptation (RCA) algorithm to achieve data-driven, adaptive, real-time (DART) precision meteorological forecasts. AIAA SciTech Forum and Exposition, 2024, American Institute of Aeronautics and Astronautics Inc, AIAA, https://doi.org/10.2514/6.2024-1082
Takane, Y., Y. Kikegawa, K. Nakajima, and H. Kusaka, 2024: SLUCM+BEM (v1.0): a simple parameterisation for dynamic anthropogenic heat and electricity consumption in WRF-Urban (v4.3.2). Geoscientific Model Development, 17(23), 8639-8664, https://doi.org/10.5194/gmd-17-8639-2024
Tu, Q., F. Hase, K. Qin, J. B. Cohen, F. Khosrawi, X. Zou, M. Schneider, and F. Lu, 2024: Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method. Atmospheric Chemistry and Physics, 24(8), 4875-4894, https://doi.org/10.5194/acp-24-4875-2024
Vishwakarma, V., and S. Pattnaik, 2024: Investigation of physical processes in heavy rainfall events over the Western Indian region in an ensemble-based modeling framework and comprehensive rating metrics. Quarterly Journal of the Royal Meteorological Society, 150, 5264-5283, https://doi.org/10.1002/qj.4869
Wasson, G., and S. K. Panda, 2024: Sensitivity of PBL parameterization schemes in simulating lightning and thunderstorm using WRF-ELEC model. Climate Dynamics, 62(5), 3799-3821, https://doi.org/10.1007/s00382-023-07099-6
Waxler, R., W. G. Frazier, C. L. Talmadge, B. Liang, C. Hetzer, H. Buchanan, and W. E. Audette, 2024: Analysis of infrasound array data from tornadic storms in the southeastern United States. The Journal of the Acoustical Society of America, 156(3), 1903-1919, https://doi.org/10.1121/10.0028815
Wenbo, X., Y. Hui, and T. Shengming, 2024: Multiscale interaction analysis of Landfall Typhoon Lekima (2019) based on vorticity equation diagnosis. Tropical Cyclone Research and Review, 13(2), 136-146, https://doi.org/10.1016/j.tcrr.2024.06.004
Xin, R., X. Li, Y. Du, M. Li, and L. W. Chew, 2024: Simulation of a cold spell in Guangdong-Hong Kong-Macao Greater Bay Area with WRF: Sensitivity to PBL schemes. Atmospheric Research, 310, https://doi.org/10.1016/j.atmosres.2024.107640
Yang, S., D. Shin, S. Cocke, C. C. Nam, M. Bourassa, D. Cha, and B. Kim, 2024: Unveiling the pivotal influence of sea spray heat fluxes on hurricane rapid intensification. Environmental Research Letters, 19(11), 114058, https://doi.org/10.1088/1748-9326/ad7ee0
Yun, Y., D. Zhang, W. Gao, J. Yin, C. Zhao, J. Li, J. Guo, and H. Liu, 2024: Spatiotemporal Variations of the Effects of Aerosols on Clouds and Precipitation in an Extreme-Rain-Producing MCS in South China. Journal of Geophysical Research: Atmospheres, 129(6), https://doi.org/10.1029/2023JD040014
Zhao, J., X. Ma, J. Quaas, and H. Jia, 2024: Exploring aerosol-cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem-SBM model. Atmospheric Chemistry and Physics, 24(16), 9101-9118, https://doi.org/10.5194/acp-24-9101-2024
Zheng, M., Z. Zhang, and W. Zhang, 2024: How Did the Merger With a Tropical Depression Amplify the Rapid Weakening of Super Typhoon Hinnamnor (2022)?. Geophysical Research Letters, 51(15), https://doi.org/10.1029/2024GL109049
2023
Bessagnet, B., K. Cuvelier, A. de Meij, A. Monteiro, E. Pisoni, P. Thunis, A. Violaris, J. Kushta, B. R. Denby, Q. Mu, E. G. Wærsted, M. G. Vivanco, M. R. Theobald, V. Gil, R. S. Sokhi, K. Momoh, U. Alyuz, R. VPM, S. Kumar, E. Bossioli, G. Methymaki, D. Brzoja, V. Milić, A. Cholakian, R. Pennel, S. Mailler, L. Menut, G. Briganti, M. Mircea, C. Flandorfer, K. Baumann-Stanzer, V. Hutsemékers, and E. Trimpeneers, 2023: Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies. Air Quality, Atmosphere and Health, 17, 681-706, https://doi.org/10.1007/s11869-023-01469-z
Cao, L., S. Li, Y. Gu, and Y. Luo, 2023: A three-dimensional simulation and process analysis of tropospheric ozone depletion events (ODEs) during the springtime in the Arctic using CMAQ (Community Multiscale Air Quality Modeling System). Atmospheric Chemistry and Physics, 23(5), 3363-3382, https://doi.org/10.5194/acp-23-3363-2023
Chen, J., B. Han, Q. Yang, H. Luo, Z. Xian, Y. Zhang, X. Li, and X. Zhang, 2023: Assimilation of Additional Radiosonde Observation Helps Improve the Prediction of Typhoon-Related Rainfall in the Pearl River Delta. Journal of Hydrometeorology, 24(11), 2007-2022, https://doi.org/10.1175/JHM-D-23-0024.1
Donmez, K., B. Donmez, D. H. Diren-Ustun, and Y. Unal, 2023: Boundary-dependent urban impacts on timing, pattern, and magnitude of heavy rainfall in Istanbul. Atmospheric Research, 286, https://doi.org/10.1016/j.atmosres.2023.106681
En-nkhili, H., I. Nizar, M. Igouzal, A. Touazit, N. Youness, and I. Etebaai, 2023: Artificial neural network and energy budget method to predict daily evaporation of Boudaroua reservoir (northern Morocco). Journal of Water and Land Development, 57, 107–115, https://doi.org/10.24425/jwld.2023.145341
Frieß, U., K. Kreher, R. Querel, H. Schmithüsen, D. Smale, R. Weller, and U. Platt, 2023: Source mechanisms and transport patterns of tropospheric bromine monoxide: findings from long-term multi-axis differential optical absorption spectroscopy measurements at two Antarctic stations. Atmospheric Chemistry and Physics, 23(5), 3207-3232, https://doi.org/10.5194/acp-23-3207-2023
Guzman-Vazquez, I., J. F. Leon-Cruz, and L. Galicia, 2023: Role of dispersal in the altitudinal migration of Pinus hartwegii and Abies religiosa in mountain systems. Frontiers in Ecology and Evolution, 11, https://doi.org/10.3389/fevo.2023.1150137
Hassani, A., G. S. Santos, P. Schneider, and N. Castell, 2023: Interpolation, Satellite-Based Machine Learning, or Meteorological Simulation? A Comparison Analysis for Spatio-temporal Mapping of Mesoscale Urban Air Temperature. Environmental Modeling & Assessment, 29(2), 291-306, https://doi.org/10.1007/s10666-023-09943-9
He, L., Q. Li, Y. Wang, J. H. Lee, Y. Xu, and G. Li, 2023: Effects of Urban Expansion and Anthropogenic Heat Enhancement on Tropical Cyclone Precipitation in the Greater Bay Area of China. Journal of Geophysical Research: Atmospheres, 128(16), https://doi.org/10.1029/2022jd038184
Hosseini Dehshiri, S. S., and B. Firoozabadi, 2023: A multi-objective framework to select numerical options in air quality prediction models: A case study on dust storm modeling. Science of The Total Environment, 863, 160681, https://doi.org/10.1016/j.scitotenv.2022.160681
Jia, W., X. Zhang, H. Wang, Y. Wang, D. Wang, J. Zhong, W. Zhang, L. Zhang, L. Guo, Y. Lei, J. Wang, Y. Yang, and Y. Lin, 2023: Comprehensive evaluation of typical planetary boundary layer (PBL) parameterization schemes in China - Part 2: Influence of uncertainty factors. Geoscientific Model Development, 16(22), 6833-6856, https://doi.org/10.5194/gmd-16-6833-2023
Li, J., Z. Zhang, J. Tao, Y. Pan, L. Luo, and Z. Han, 2023: The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region. Frontiers in Environmental Science, 11, https://doi.org/10.3389/fenvs.2023.1124579
Mogno, C., P. I. Palmer, M. R. Marvin, S. Sharma, Y. Chen, and O. Wild, 2023: Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season. Atmospheric Environment-x, 17, https://doi.org/10.1016/j.aeaoa.2022.100200
Mondal, U., A. Kumar, S. K. Panda, D. Sharma, and S. Das, 2023: Comprehensive Study of Thunderstorm Indices Threshold Favorable for Thunderstorms During Monsoon Season Using WRF-ARW Model and ERA5 Over India. , Research Square Platform LLC, https://doi.org/10.21203/rs.3.rs-2994104/v1
Monterde, D., N. Carbajal, L. F. Pineda-Martinez, and J. F. Leon-Cruz, 2023: Analysis of a multiple non-supercell tornado event in Mexico. Atmospheric Research, 293, https://doi.org/10.1016/j.atmosres.2023.106916
Nabavi, S. O., T. Christoudias, Y. Proestos, C. Fountoukis, H. Al-Sulaiti, and J. Lelieveld, 2023: Spatiotemporal variation of radionuclide dispersion from nuclear power plant accidents using FLEXPART mini-ensemble modeling. Atmospheric Chemistry and Physics, 23(13), 7719-7739, https://doi.org/10.5194/acp-23-7719-2023
Nakajima, K., Y. Takane, Y. Kikegawa, and K. Yamaguchi, 2023: Improvement of WRF-CM-BEM and its application to high-resolution hindcasting of summertime urban electricity consumption. Energy and Buildings, 296, 113336, https://doi.org/10.1016/j.enbuild.2023.113336
Ohyama, H., M. M. Frey, I. Morino, K. Shiomi, M. Nishihashi, T. Miyauchi, H. Yamada, M. Saito, M. Wakasa, T. Blumenstock, and F. Hase, 2023: Anthropogenic CO 2 emission estimates in the Tokyo metropolitan area from ground-based CO 2 column observations. Atmospheric Chemistry and Physics, 23(23), 15097-15119, https://doi.org/10.5194/acp-23-15097-2023
Peng, Z., L. Lei, Z. Tan, M. Zhang, A. Ding, and X. Kou, 2023: Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions. Atmospheric Chemistry and Physics, 23(22), 14505-14520, https://doi.org/10.5194/acp-23-14505-2023
Rizza, U., E. Avolio, M. Morichetti, L. Di Liberto, A. Bellini, F. Barnaba, S. Virgili, G. Passerini, and E. Mancinelli, 2023: On the Interplay between Desert Dust and Meteorology Based on WRF-Chem Simulations and Remote Sensing Observations in the Mediterranean Basin. Remote Sensing, 15(2), https://doi.org/10.3390/rs15020435
Shi, B., C. Yang, J. Min, and L. Sha, 2023: Impact of a New Bias Correction Predictor for FY-4A AGRI All-Sky Data Assimilation on Typhoon Forecast. Journal of Geophysical Research: Atmospheres, 128(21), https://doi.org/10.1029/2023JD039063
Solomos, S., C. Spyrou, A. Barreto, S. Rodriguez, Y. Gonzalez, M. K. Neophytou, P. Mouzourides, N. S. Bartsotas, C. Kalogeri, S. Nickovic, A. Vukovic Vimic, M. V. Mandic, G. Pejanovic, B. Cvetkovic, V. Amiridis, O. Sykioti, A. Gkikas, and C. Zerefos, 2023: The Development of METAL-WRF Regional Model for the Description of Dust Mineralogy in the Atmosphere. Atmosphere, 14(11), https://doi.org/10.3390/atmos14111615
Souza, N. B., E. G. Nascimento, and D. M. Moreira, 2023: Performance evaluation of the WRF model in a tropical region: Wind speed analysis at different sites. Atmosfera, 36(2), 253-277, https://doi.org/10.20937/ATM.52968
Tian, D., H. Zhang, S. Wang, W. Zhang, X. Sun, Y. Zhou, G. Zheng, H. Jiang, S. Yang, and F. Zhou, 2023: Sea Surface Wind Structure in the Outer Region of Tropical Cyclones Observed by Wave Gliders. Journal of Geophysical Research: Atmospheres, 128(3), https://doi.org/10.1029/2022jd037235
Wang, P., Y. Zhang, H. Gong, H. Zhang, A. Guenther, J. Zeng, T. Wang, and X. Wang, 2023: Updating Biogenic Volatile Organic Compound (BVOC) Emissions With Locally Measured Emission Factors in South China and the Effect on Modeled Ozone and Secondary Organic Aerosol Production. Journal of Geophysical Research: Atmospheres, 128(24), https://doi.org/10.1029/2023jd039928
Wang, X., and Z. Tan, 2023: On the Combination of Physical Parameterization Schemes for Tropical Cyclone Track and Intensity Forecasts in the Context of Uncertainty. Journal of Advances in Modeling Earth Systems, 15(4), https://doi.org/10.1029/2022MS003381
Weng, X., J. Li, G. L. Forster, and P. Nowack, 2023: Large Modeling Uncertainty in Projecting Decadal Surface Ozone Changes Over City Clusters of China. Geophysical Research Letters, 50(9), https://doi.org/10.1029/2023GL103241
Wu, D., J. L. Laughner, J. Liu, P. I. Palmer, J. C. Lin, and P. O. Wennberg, 2023: A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT-NOx. Geoscientific Model Development, 16(21), 6161-6185, https://doi.org/10.5194/gmd-16-6161-2023
Xin, R., X. Li, Y. Shi, L. Li, Y. Zhang, C. Liu, and Y. Dai, 2023: Study of Urban Thermal Environment and Local Circulations of Guangdong-Hong Kong-Macao Greater Bay Area Using WRF and Local Climate Zones. Journal of Geophysical Research: Atmospheres, 128(20), https://doi.org/10.1029/2022JD038210
Yao, Z., Y. Wang, X. Qiu, and F. Song, 2023: Impact of Anthropogenic Emission Reduction during COVID-19 on Air Quality in Nanjing, China. Atmosphere, 14(4), https://doi.org/10.3390/atmos14040630
Zhai, J., G. Yu, J. Zhang, S. Shi, Y. Yuan, S. Jiang, C. Xing, B. Cai, Y. Zeng, Y. Wang, A. Zhang, Y. Zhang, T. Fu, L. Zhu, H. Shen, J. Ye, C. Wang, S. Tao, M. Li, Y. Zhang, and X. Yang, 2023: Impact of Ship Emissions on Air Quality in the Greater Bay Area in China under the Latest Global Marine Fuel Regulation. Environmental Science & Technology, 57(33), 12341-12350, https://doi.org/10.1021/acs.est.3c03950
2022
Özen, C., and A. Deniz, 2022: Short-term wind speed forecast for Urla wind power plant: A hybrid approach that couples weather research and forecasting model, weather patterns and SCADA data with comprehensive data preprocessing. Wind Engineering, 46(5), 1526-1549, https://doi.org/10.1177/0309524x221088612
Beal, A., J. A. Martins, A. P. Rudke, D. S. de Almeida, I. da Silva, O. M. Sobrinho, M. de Fátima Andrade, C. R. Tarley, and L. D. Martins, 2022: Chemical characterization of PM2.5 from region highly impacted by hailstorms in South America. Environmental Science and Pollution Research, 29(4), 5840-5851, https://doi.org/10.1007/s11356-021-15952-6
Bilang, R. G., A. C. Blanco, J. A. Santos, and L. M. Olaguera, 2022: Simulation of Urban Heat Island during a High-Heat Event Using WRF Urban Canopy Models: A Case Study for Metro Manila. Atmosphere, 13(10), 1658, https://doi.org/10.3390/atmos13101658
Boyaj, A., H. P. Dasari, Y. V. Rao, K. Ashok, and I. Hoteit, 2022: Assimilation of global positioning system radio occultation refractivity for the enhanced prediction of extreme rainfall events in southern India. Meteorological Applications, 29(6), https://doi.org/10.1002/met.2103
Bran, S. H., R. Macatangay, V. Surapipith, C. Chotamonsak, S. Chantara, Z. Han, and J. Li, 2022: Surface PM2.5 mass concentrations during the dry season over northern Thailand: Sensitivity to model aerosol chemical schemes and the effects on regional meteorology. Atmospheric Research, 277, https://doi.org/10.1016/j.atmosres.2022.106303
Chen, S., Z. Xie, J. Xie, B. Liu, B. Jia, P. Qin, L. Wang, Y. Wang, and R. Li, 2022: Impact of urbanization on the thermal environment of the Chengdu-Chongqing urban agglomeration under complex terrain. Earth System Dynamics, 13(1), 341-356, https://doi.org/10.5194/esd-13-341-2022
Clouthier-Lopez, J., R. Barrón-Fernández, and D. A. Salas-de-León, 2022: The diurnal cycle of the lightning potential index over the Mexican tropical continental region during tropical cyclone Bud. Atmospheric Science Letters, 23(11), https://doi.org/10.1002/asl.1119
Deroubaix, A., L. Menut, C. Flamant, P. Knippertz, A. H. Fink, A. Batenburg, J. Brito, C. Denjean, C. Dione, R. Dupuy, V. Hahn, N. Kalthoff, F. Lohou, A. Schwarzenboeck, G. Siour, P. Tuccella, and C. Voigt, 2022: Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study. Atmospheric Chemistry and Physics, 22(5), 3251-3273, https://doi.org/10.5194/acp-22-3251-2022
Falasca, S., M. Zinzi, L. Ding, G. Curci, and M. Santamouris, 2022: On the mitigation potential of higher urban albedo in a temperate oceanic metropolis. Sustainable Cities and Society, 81, https://doi.org/10.1016/j.scs.2022.103850
Fedor, T., and J. Hofierka, 2022: Comparison of Urban Heat Island Diurnal Cycles under Various Atmospheric Conditions Using WRF-UCM. Atmosphere, 13(12), https://doi.org/10.3390/atmos13122057
Fuentes Garcia, G., R. Sosa Echeverria, A. Garcia Reynoso, J. M. Baldasano Recio, V. Magana Rueda, A. Retama Hernandez, and J. D. Kahl, 2022: Sea Port SO2 Atmospheric Emissions Influence on Air Quality and Exposure at Veracruz, Mexico. Atmosphere, 13(12), https://doi.org/10.3390/atmos13121950
Hong, J., J. Moon, T. Kim, S. H. You, K. Byun, and H. Eom, 2022: Role of Salinity-Induced Barrier Layer in Air-Sea Interaction During the Intensification of a Typhoon. Frontiers in Marine Science, 9, https://doi.org/10.3389/fmars.2022.844003
Ishii, S., K. Kishibuchi, H. Takenaka, Y. Jin, T. Nishizawa, N. Sugimoto, H. Iwai, M. Aoki, S. Kawamura, and H. Okamoto, 2022: 355-nm direct-detection Doppler wind lidar for vertical atmospheric motion measurement. Applied Optics, 61(27), 7925, https://doi.org/10.1364/ao.460219
KAWAMOTO, Y., 2022: INVESTIGATION INTO THE UNCERTAINTY OF INITNIAL AND BOUNDARY CONDITIONS IN THE HINDCAST OF FLOW FIELDS OVER URBAN AREA USING A MESO-SCALE NUMERICAL WEATHER PREDICTION MODEL. Journal of Environmental Engineering (Transactions of AIJ), 87(797), 460-471, https://doi.org/10.3130/aije.87.460
Kawamoto, Y., 2022: Investigation of the uncertainty of initial and boundary conditions in the hindcasts of flow fields over urban areas using a mesoscale numerical weather prediction model. JAPAN ARCHITECTURAL REVIEW, 5(4), 517-529, https://doi.org/10.1002/2475-8876.12282
Lago Kitagawa, Y. K., E. G. Sperandio Nascimento, N. B. Sperandio Nascimento, N. B. Junior Zucatelli, P. Junior Zucatelli, P. T. de Almeida Albuquerque, M. T. de Almeida Albuquerque, D. Romero de Moraes, and D. Martins Moreira, 2022: Evaluation of the WRF-ARW model during an extreme rainfall event: Subtropical storm Guar?. Atmosfera, 35(4), 651-672, https://doi.org/10.20937/ATM.52977
Lan, Y., D. Sun, H. Leng, J. Song, X. Cao, and R. Dong, 2022: A New Sea Surface Roughness Parameterization and Its Application in Tropical Cyclone Modeling. Journal of Geophysical Research: Atmospheres, 127(24), https://doi.org/10.1029/2022jd037159
Li, X., D. Shen, G. Zheng, L. Zhou, and A. Liu, 2022: Comprehensive Satellite Observations and a Numerical Study of a Wintertime Shallow Sea Smoke Event in the Yellow Sea. Journal of the Atmospheric Sciences, 79(12), 3163-3179, https://doi.org/10.1175/JAS-D-22-0065.1
Li, Z., Z. Ma, P. Wang, A. H. Lim, J. Li, J. A. Jung, T. J. Schmit, and H. Huang, 2022: An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation. Journal of Geophysical Research: Atmospheres, 127(15), https://doi.org/10.1029/2021jd036061
Liu, H., X. Tang, and J. Gu, 2022: Effects of Volcanic Aerosols on the Genesis of Tropical Cyclone Wukong (2018). Journal of Geophysical Research: Atmospheres, 127(22), https://doi.org/10.1029/2022jd036775
Luther, A., J. Kostinek, R. Kleinschek, S. Defratyka, M. Stanisavljević, A. Forstmaier, A. Dandocsi, L. Scheidweiler, D. Dubravica, N. Wildmann, F. Hase, M. M. Frey, J. Chen, F. Dietrich, J. Nȩcki, J. Swolkień, C. Knote, S. N. Vardag, A. Roiger, and A. Butz, 2022: Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network. Atmospheric Chemistry and Physics, 22(9), 5859-5876, https://doi.org/10.5194/acp-22-5859-2022
Maejima, Y., T. Kawabata, H. Seko, and T. Miyoshi, 2022: Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event. Scientific Online Letters on the Atmosphere, 18(0), 25-32, https://doi.org/10.2151/SOLA.2022-005
Magyar, D., R. Novák, O. Udvardy, A. Páldy, T. Szigeti, B. Stjepanović, I. Hrga, A. Večenaj, A. Vucić, D. Peroš Pucar, B. Šikoparija, P. Radišić, T. Škorić, J. Ščevková, E. Simon-Csete, M. Nagy, and Á. Leelőssy, 2022: Unusual early peaks of airborne ragweed (Ambrosia L.) pollen in the Pannonian Biogeographical Region. International Journal of Biometeorology, 66(11), 2195-2203, https://doi.org/10.1007/s00484-022-02348-5
Mai, C., and Y. Du, 2022: Mesoscale Moisture Transport in Determining the Location of Daytime Convection Initiations Clustered in Time and Space Over Southern China. Journal of Geophysical Research: Atmospheres, 127(11), https://doi.org/10.1029/2021jd036098
Meng, D., Y. Chen, J. Li, Z. Tan, P. Wang, J. Lee, J. Li, and Z. Li, 2022: The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path From ABI on Analyses and Forecasts for Hurricane Irma (2017). Journal of Geophysical Research: Atmospheres, 127(19), https://doi.org/10.1029/2022jd036910
Oberai, K., S. Saran, A. K. Jha, C. Singh, Y. Kant, S. Srivastava, S. K. Singh, D. Mitra, and P. Chauhan, 2022: Internet GIS-Based Air Quality Monitoring and Forecast System for the Indian Region Using FOSS4G. Journal of the Indian Society of Remote Sensing, 50(4), 657-675, https://doi.org/10.1007/s12524-021-01478-4
Pedruzzi, R., W. L. Andreao, B. H. Baek, A. P. Hudke, T. W. Glotfelty, E. D. de Freitas, J. A. Martins, J. H. Bowden, J. A. Pinto, M. F. Alonso, and T. T. de Almeida Abuquerque, 2022: Update of land use/land cover and soil texture for Brazil: Impact on WRF modeling results over Sao Paulo. Atmospheric Environment, 268, https://doi.org/10.1016/j.atmosenv.2021.118760
Shirai, T., Y. Enomoto, M. Watanabe, and T. Arikawa, 2022: Sensitivity analysis of the physics options in the Weather Research and Forecasting model for typhoon forecasting in Japan and its impacts on storm surge simulations. Coastal Engineering Journal, 64(4), 506-532, https://doi.org/10.1080/21664250.2022.2124040
Simonetto, A., G. Sperandio, A. Battisti, N. Mori, M. Ciampitti, B. Cavagna, A. Bianchi, and G. Gilioli, 2022: Exploring the main factors influencing habitat preference of Popillia japonica in an area of recent introduction. Ecological Informatics, 70, https://doi.org/10.1016/j.ecoinf.2022.101749
Spyrou, C., S. Solomos, N. S. Bartsotas, K. C. Douvis, and S. Nickovic, 2022: Development of a Dust Source Map for WRF-Chem Model Based on MODIS NDVI. Atmosphere, 13(6), 868, https://doi.org/10.3390/atmos13060868
Swenson, L., L. Gao, J. Hong, and L. Shen, 2022: An efficacious model for predicting icing-induced energy loss for wind turbines. Applied Energy, 305, 117809, https://doi.org/10.1016/j.apenergy.2021.117809
Wang, C., J. Fang, and Y. Ma, 2022: Structural Changes Preceding the Rapid Intensification of Typhoon Lekima (2019) Under Moderate Vertical Wind Shear. Journal of Geophysical Research: Atmospheres, 127(20), https://doi.org/10.1029/2022jd036544
Wang, S., X. Xu, L. Lei, and Y. Gao, 2022: Effects of Aerosol on Reference Crop Evapotranspiration: A Case Study in Henan Province, China. Agronomy, 13(1), 82, https://doi.org/10.3390/agronomy13010082
Wasson, G., S. Das, and S. K. Panda, 2022: Numerical simulation of a Clear Air Turbulence (CAT) event over Northern India using WRF modeling system. Natural Hazards, 114(3), 2605-2631, https://doi.org/10.1007/s11069-022-05481-x
Xue, H., J. Li, Q. Zhang, and H. Gu, 2022: Simulation of the Effect of Small-Scale Mountains on Weather Conditions During the May 2021 Ultramarathon in Gansu Province, China. Journal of Geophysical Research: Atmospheres, 127(15), https://doi.org/10.1029/2022jd036465
Yin, J., X. Liang, H. Wang, and H. Xue, 2022: Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF ev4.1.3. Geoscientific Model Development, 15(2), 771-786, https://doi.org/10.5194/gmd-15-771-2022
Zhang, W., H. Wang, X. Zhang, L. Huang, Y. Peng, Z. Liu, X. Zhang, and H. Che, 2022: Aerosol-cloud interaction in the atmospheric chemistry model GRAPES Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing-Jin-Ji in China. Atmospheric Chemistry and Physics, 22(23), 15207-15221, https://doi.org/10.5194/acp-22-15207-2022
Zhu, X., H. Yu, and Y. Wang, 2022: Downwind Development in a Stationary Band Complex Leading to the Secondary Eyewall Formation in the Simulated Typhoon Soudelor (2015). Monthly Weather Review, 150(10), 2459-2483, https://doi.org/10.1175/MWR-D-21-0318.1
2021
Özen, C., U. Dinç, A. Deniz, and H. Karan, 2021: Wind power generation forecast by coupling numerical weather prediction model and gradient boosting machines in Yahyalı wind power plant. Wind Engineering, 45(5), 1256-1272, https://doi.org/10.1177/0309524X20972115
Bukowski, J., and S. C. van den Heever, 2021: Direct Radiative Effects in Haboobs. Journal of Geophysical Research: Atmospheres, 126(21), https://doi.org/10.1029/2021JD034814
Camacho, F., B. Fuster, W. Li, M. Weiss, S. Ganguly, R. Lacaze, and F. Baret, 2021: Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations. Remote Sensing of Environment, 260, https://doi.org/10.1016/j.rse.2021.112453
Chakraborty, T., S. Pattnaik, R. K. Jenamani, and H. Baisya, 2021: Evaluating the performances of cloud microphysical parameterizations in WRF for the heavy rainfall event of Kerala (2018). Meteorology and Atmospheric Physics, 133(3), 707-737, https://doi.org/10.1007/s00703-021-00776-3
Chen, S., C. Liu, C. Huang, S. Hsu, H. Li, P. Lin, J. Cheng, and C. Huang, 2021: An Analysis Study of FORMOSAT-7/COSMIC-2 Radio Occultation Data in the Troposphere. Remote Sensing, 13(4), 717, https://doi.org/10.3390/rs13040717
Chen, S., T. Nguyen, and C. Huang, 2021: Impact of radio occultation data on the prediction of typhoon haishen (2020) with wrfda hybrid assimilation. Atmosphere, 12(11), 1397, https://doi.org/10.3390/atmos12111397
Cruz, L. L., and T. Shimozono, 2021: Transport of floating litter within Manila Bay, Philippines. Marine Pollution Bulletin, 163, https://doi.org/10.1016/j.marpolbul.2020.111944
Dennis, E. J., and E. H. Berbery, 2021: The role of soil texture in local land surface–atmosphere coupling and regional climate. Journal of Hydrometeorology, 22, 313-330, https://doi.org/10.1175/JHM-D-20-0047.1
Eckl, M., A. Roiger, J. Kostinek, A. Fiehn, H. Huntrieser, C. Knote, Z. R. Barkley, S. M. Ogle, B. C. Baier, C. Sweeney, and K. J. Davis, 2021: Quantifying Nitrous Oxide Emissions in the U.S. Midwest: A Top-Down Study Using High Resolution Airborne In-Situ Observations. Geophysical Research Letters, 48, https://doi.org/10.1029/2020GL091266
FEDOR, T., and J. HOFIERKA, 2021: Increasing the accuracy of the WRF-ARW numerical weather prediction model using Corine Land Cover and JAXA data. Geographia Cassoviensis, 15(2), 218-232, https://doi.org/10.33542/GC2021-2-07
García-Martínez, R., G. Hernández-Silva, R. Pavia-Hernández, B. Schiavo, M. Flores-Espinosa, A. Wellens, R. Torres-Jardon, A. Garcia-Reynoso, A. Martínez-Arroyo, A. Gavilán-García, and L. G. G.Ruíz-Suárez, 2021: Total gaseous mercury levels in the vicinity of the Central Mexico mountain mining zone and its dispersion area. Air Quality, Atmosphere & Health, 14(12), 1953-1967, https://doi.org/10.1007/s11869-021-01068-w
Green, A., S. G. Gopalakrishnan, G. J. Alaka, and S. Chiao, 2021: Understanding the Role of Mean and Eddy Momentum Transport in the Rapid Intensification of Hurricane Irma (2017) and Hurricane Michael (2018). Atmosphere, 12(4), 492, https://doi.org/10.3390/atmos12040492
Hafeez, M. A., Y. Nakamura, T. Suzuki, T. Inoue, Y. Matsuzaki, K. Wang, and A. Moiz, 2021: Integration of Weather Research and Forecasting (WRF) model with regional coastal ecosystem model to simulate the hypoxic conditions. Science of The Total Environment, 771, 145290, https://doi.org/10.1016/j.scitotenv.2021.145290
Kang, J., H. Myung, and J. Yuk, 2021: Examination of Computational Performance and Potential Applications of a Global Numerical Weather Prediction Model MPAS Using KISTI Supercomputer NURION. Journal of Marine Science and Engineering, 9(10), https://doi.org/10.3390/jmse9101147
Khalchenkov, A., and I. Kovalets, 2021: "Evaluation of spectral/grid nudging methods for weather analysis and forecasting in kyiv region with the use of wrf mesoscale meteorological model", in Mathematical Modeling and Simulation of Systems (MODS'2020). Ed. S. Shkarlet, A. Morozov, and A. Palagin, Springer, 13-23.
Khan, M. J., F. Durand, X. Bertin, L. Testut, Y. Krien, A. K. Islam, M. Pezerat, and S. Hossain, 2021: Towards an efficient storm surge and inundation forecasting system over the Bengal delta: chasing the Supercyclone Amphan. Natural Hazards and Earth System Sciences, 21(8), 2523-2541, https://doi.org/10.5194/nhess-21-2523-2021
Kostinek, J., A. Roiger, M. Eckl, A. Fiehn, A. Luther, N. Wildmann, T. Klausner, A. Fix, C. Knote, A. Stohl, and A. Butz, 2021: Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling. Atmospheric Chemistry and Physics, 21(11), 8791-8807, https://doi.org/10.5194/acp-21-8791-2021
Kotone, K., K. Taniguchi, K. Nakamura, and Y. Takayama, 2021: Estimation of Potential Economic Losses Due to Flooding Considering Variations of Spatial Distribution of Houses and Firms in a City. Journal of Disaster Research, 16(3), 329-342, https://doi.org/10.20965/jdr.2021.p0329
Li, X., N. Wang, and Z. Wu, 2021: Terrain Effects on Regional Precipitation in a Warm Season over Qinling-Daba Mountains in Central China. Atmosphere, 12(12), 1685, https://doi.org/10.3390/atmos12121685
Magyar, D., P. Dumitrica, A. Mura-Meszaros, Z. Medzihradszky, A. Leelossy, and S. Saint Martin, 2021: The Occurrence of Skeletons of Silicoflagellata and Other Siliceous Bioparticles in Floral Honeys. Foods, 10(2), https://doi.org/10.3390/foods10020421
Matsuzaki, Y., T. Fujiki, K. Kawaguchi, T. Inoue, and T. Iwamoto, 2021: Application of the WRF model to the coastal area at Ise Bay, Japan: evaluation of model output sensitivity to input data. Coastal Engineering Journal, 63(1), 17-31, https://doi.org/10.1080/21664250.2020.1830485
Mogno, C., P. I. Palmer, C. Knote, F. Yao, and T. J. Wallington, 2021: Seasonal distribution and drivers of surface fine particulate matter and organic aerosol over the Indo-Gangetic Plain. Atmospheric Chemistry and Physics, 21(14), 10881-10909, https://doi.org/10.5194/acp-21-10881-2021
Nishizawa, T., Y. Jin, N. Sugimoto, K. Sato, M. Fujikawa, S. Ishii, M. Aoki, K. Nakagawa, and H. Okamoto, 2021: Observation of clouds, aerosols, and precipitation by multiple-field-of-view multiple-scattering polarization lidar at 355 nm. Journal of Quantitative Spectroscopy & Radiative Transfer, 271, https://doi.org/10.1016/j.jqsrt.2021.107710
Rabbani, K. M., S. Das, S. K. Panda, A. Kabir, and M. A. Mallik, 2021: Physical and Dynamical Characteristics of Thunderstorms Over Bangladesh Based on Radar, Satellite, Upper-Air Observations, and WRF Model Simulations. Pure and Applied Geophysics, 178(9), 3747-3767, https://doi.org/10.1007/s00024-021-02847-3
Ribeiro, I., A. Martilli, M. Falls, A. Zonato, and G. Villalba, 2021: Highly resolved WRF-BEP/BEM simulations over Barcelona urban area with LCZ. Atmospheric Research, 248, https://doi.org/10.1016/j.atmosres.2020.105220
Tang, W., D. P. Edwards, L. K. Emmons, H. M. Worden, L. M. Judd, L. N. Lamsal, J. A. Al-Saadi, S. J. Janz, J. H. Crawford, M. N. Deeter, G. Pfister, R. R. Buchholz, B. Gaubert, and C. R. Nowlan, 2021: Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements. Atmospheric Measurement Techniques, 14(6), 4639-4655, https://doi.org/10.5194/amt-14-4639-2021
Taylor, J., A. Amemiya, T. Honda, Y. Maejima, and T. Miyoshi, 2021: Predictability of the July 2020 Heavy Rainfall with the SCALE-LETKF. Scientific Online Letters on the Atmosphere, 17, 48-56, https://doi.org/10.2151/sola.2021-008
Wie, J., B. Moon, Y. Hyun, and J. Lee, 2021: Impact of local atmospheric circulation and sea surface temperature of the East Sea (Sea of Japan) on heat waves over the Korean Peninsula. Theoretical and Applied Climatology, 144(1-2), 431-446, https://doi.org/10.1007/s00704-021-03546-8
Zeng, Z., D. Wang, L. Yang, J. Wu, A. D. Ziegler, M. Liu, P. Ciais, T. D. Searchinger, Z. Yang, D. Chen, A. Chen, L. Z. Li, S. Piao, D. Taylor, X. Cai, M. Pan, L. Peng, P. Lin, D. Gower, Y. Feng, C. Zheng, K. Guan, X. Lian, T. Wang, L. Wang, S. Jeong, Z. Wei, J. Sheffield, K. Caylor, and E. F. Wood, 2021: Deforestation-induced warming over tropical mountain regions regulated by elevation. Nature Geoscience, 14(1), 23-29, https://doi.org/10.1038/s41561-020-00666-0
Zhao, N., A. Manda, X. Guo, K. Kikuchi, T. Nasuno, M. Nakano, Y. Zhang, and B. Wang, 2021: A Lagrangian View of Moisture Transport Related to the Heavy Rainfall of July 2020 in Japan: Importance of the Moistening Over the Subtropical Regions. Geophysical Research Letters, 48, https://doi.org/10.1029/2020GL091441
Zheng, M., L. Delle Monache, B. D. Cornuelle, F. M. Ralph, V. S. Tallapragada, A. Subramanian, J. S. Haase, Z. Zhang, X. Wu, M. J. Murphy, T. B. Higgins, and L. DeHaan, 2021: Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program. Journal of Geophysical Research: Atmospheres, 126(21), https://doi.org/10.1029/2021JD034967
Zhou, Y., B. F. Zaitchik, S. V. Kumar, K. R. Arsenault, M. A. Matin, F. M. Qamer, R. A. Zamora, and K. Shakya, 2021: Developing a hydrological monitoring and sub-seasonal to seasonal forecasting system for South and Southeast Asian river basins. Hydrology and Earth System Sciences, 25(1), 41-61, https://doi.org/10.5194/hess-25-41-2021
Zhu, B., Z. Pu, A. W. Putra, and Z. Gao, 2021: Assimilating C-Band Radar Data for High-Resolution Simulations of Precipitation: Case Studies over Western Sumatra. Remote Sensing, 14(1), 42, https://doi.org/10.3390/rs14010042
2020
Bukowski, J., and S. C. van den Heever, 2020: Convective distribution of dust over the Arabian Peninsula: The impact of model resolution. Atmospheric Chemistry and Physics, 20, 2967-2986, https://doi.org/10.5194/acp-20-2967-2020
Chandra, A., S. Ghosh, N. Doshi, S. Deshpande, and S. Gumber, 2020: A Case Study on Assessing Cumulonimbus Induced Flight Vulnerabilities Over the Nepalese Himalayan Terrain. Pure and Applied Geophysics, 177(10), 5041-5066, https://doi.org/10.1007/s00024-020-02541-w
Chen, R., and W. L. Jones, 2020: Creating a consistent multi-decadal oceanic TRMM-GPM brightness temperature record with estimated calibration uncertainty. Climate, 8, https://doi.org/10.3390/cli8020031
Corripio, J. G., and L. Raso, 2020: Weather variables impact on COVID-19 incidence. , Cold Spring Harbor Laboratory, https://doi.org/10.1101/2020.06.08.20125377
Díaz, M., O. Nicolis, J. C. Marín, and S. Baran, 2020: Statistical post-processing of ensemble forecasts of temperature in Santiago de Chile. Meteorological Applications, 27, https://doi.org/10.1002/met.1818
Ghiglieno, I., A. Simonetto, F. Orlando, P. Donna, M. Tonni, L. Valenti, and G. Gilioli, 2020: Response of the arthropod community to soil characteristics and management in the franciacorta viticultural area (Lombardy, Italy). Agronomy, 10, https://doi.org/10.3390/agronomy10050740
Jin, H., and J. Baik, 2020: A New Parameterization of the Accretion of Cloud Water by Snow and Its Evaluation through Simulations of Mesoscale Convective Systems. Journal of the Atmospheric Sciences, 77(8), 2885-2903, https://doi.org/10.1175/JAS-D-19-0326.1
Jin, Y., T. Nishizawa, N. Sugimoto, S. Ishii, M. Aoki, K. Sato, and H. Okamoto, 2020: Development of a 355-nm high-spectral-resolution lidar using a scanning Michelson interferometer for aerosol profile measurement. Optics Express, 28, 23209-23222, https://doi.org/10.1364/OE.390987
Lin, L., and Z. Pu, 2020: Improving Near-Surface Short-Range Weather Forecasts Using Strongly Coupled Land-Atmosphere Data Assimilation with GSI-EnKF. Monthly Weather Review, 148(7), 2863-2888, https://doi.org/10.1175/MWR-D-19-0370.1
Nambiar, M. K., F. R. Robe, A. M. Seguin, M. Endsin, and A. A. Aliabadi, 2020: Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF. Atmosphere, 11(11), https://doi.org/10.3390/atmos11111227
Sha, Y., D. J. Gagne II, G. West, and R. Stull, 2020: Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part II: Daily Precipitation. Journal of Applied Meteorology and Climatology, 59(12), 2075-2092, https://doi.org/10.1175/JAMC-D-20-0058.1
Sha, Y., D. J. Gagne II, G. West, and R. Stull, 2020: Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part i: Daily maximum and minimum 2-m temperature. Journal of Applied Meteorology and Climatology, 59, 2057-2073, https://doi.org/10.1175/JAMC-D-20-0057.1
Takigawa, M., P. K. Patra, Y. Matsumi, S. K. Dhaka, T. Nakayama, K. Yamaji, M. Kajino, and S. Hayashida, 2020: Can Delhi's Pollution be Affected by Crop Fires in the Punjab Region?. Scientific Online Letters on the Atmosphere, 16, 86-91, https://doi.org/10.2151/sola.2020-015
Zhang, J., L. Lin, and R. L. Bras, 2020: Effect of logarithmically transformed IMERG precipitation observations in WRF 4D-Var data assimilation system. Water (Switzerland), 12(7), 1918, https://doi.org/10.3390/w12071918
Zhang, X., H. Shen, T. Li, and L. Zhang, 2020: The effects of fireworks discharge on atmospheric pm2.5 concentration in the chinese lunar new year. International Journal of Environmental Research and Public Health, 17(24), 1-19, https://doi.org/10.3390/ijerph17249333
kazemirad, M., and M. A. Miller, 2020: Summertime post-cold-frontal marine stratocumulus transition processes over the eastern north atlantic. Journal of the Atmospheric Sciences, 77, 2011-2037, https://doi.org/10.1175/JAS-D-19-0167.1
2019
Asher, E., R. S. Hornbrook, B. B. Stephens, D. Kinnison, E. J. Morgan, R. F. Keeling, E. L. Atlas, S. M. Schauffler, S. Tilmes, E. A. Kort, M. S. Hoecker-Martínez, M. C. Long, J. Lamarque, A. Saiz-Lopez, K. McKain, C. Sweeney, A. J. Hills, and E. C. Apel, 2019: Novel approaches to improve estimates of short-lived halocarbon emissions during summer from the Southern Ocean using airborne observations. Atmospheric Chemistry and Physics, 19(22), 14071-14090, https://doi.org/10.5194/acp-19-14071-2019
Deroubaix, A., L. Menut, C. Flamant, J. Brito, C. Denjean, V. Dreiling, A. Fink, C. Jambert, N. Kalthoff, P. Knippertz, R. Ladkin, S. Mailler, M. Maranan, F. Pacifico, B. Piguet, G. Siour, S. Turquety, and S. Turquety, 2019: Diurnal cycle of coastal anthropogenic pollutant transport over southern West Africa during the DACCIWA campaign. Atmospheric Chemistry and Physics, 19(1), 473-497, https://doi.org/10.5194/acp-19-473-2019
Heikenfeld, M., P. J. Marinescu, M. Christensen, D. Watson-Parris, F. Senf, S. C. van den Heever, and P. Stier, 2019: tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets. Geoscientific Model Development, 12(11), 4551-4570, https://doi.org/10.5194/gmd-12-4551-2019
Itahashi, S., K. Yamaji, S. Chatani, and H. Hayami, 2019: Differences in Model Performance and Source Sensitivities for Sulfate Aerosol Resulting from Updates of the Aqueous- and Gas-Phase Oxidation Pathways for a Winter Pollution Episode in Tokyo, Japan. Atmosphere, 10(9), 544, https://doi.org/10.3390/atmos10090544
Jin, H., H. Lee, and J. Baik, 2019: A New Parameterization of the Accretion of Cloud Water by Graupel and Its Evaluation through Cloud and Precipitation Simulations. Journal of the Atmospheric Sciences, 76(2), 381-400, https://doi.org/10.1175/JAS-D-18-0245.1
Klose, M., T. E. Gill, V. Etyemezian, G. Nikofich, Z. G. Zadeh, N. P. Webb, and R. S. Van Pelt, 2019: Dust emission from crusted surfaces: Insights from field measurements and modelling. Aeolian Research, 40, 1-14, https://doi.org/10.1016/j.aeolia.2019.05.001
Lee, Y., and K. Min, 2019: High-resolution modeling study of an isolated convective storm over Seoul Metropolitan area. Meteorology and Atmospheric Physics, 131(5), 1549-1564, https://doi.org/10.1007/s00703-019-0657-2
Lin, L., and Z. Pu, 2019: Examining the Impact of SMAP Soil Moisture Retrievals on Short-Range Weather Prediction under Weakly and Strongly Coupled Data Assimilation with WRF-Noah. Monthly Weather Review, 147(12), 4345-4366, https://doi.org/10.1175/MWR-D-19-0017.1
Mughal, M. O., X. Li, T. Yin, A. Martilli, O. Brousse, M. A. Dissegna, and L. K. Norford, 2019: High-Resolution, Multilayer Modeling of Singapore's Urban Climate Incorporating Local Climate Zones. Journal of Geophysical Research: Atmospheres, 124, 7764-7785, https://doi.org/10.1029/2018JD029796
Taszarek, M., N. Pilguj, J. Orlikowski, A. Surowiecki, S. Walczakiewicz, W. Pilorz, K. Piasecki, Ł. Pajurek, and M. Półrolniczak, 2019: Derecho evolving from a Mesocyclone-A Study of 11 August 2017 severe weather outbreak in Poland: Event analysis and high-resolution simulation. Monthly Weather Review, 147, 2283-2306, https://doi.org/10.1175/MWR-D-18-0330.1
2018
Šoljan, V., A. Belušić, K. Šarović, I. Nimac, S. Brzaj, J. Suhin, M. Belavić, Ž. Večenaj, and B. Grisogono, 2018: Micro-scale properties of different bora types. Atmosphere, 9(4), 116, https://doi.org/10.3390/atmos9040116
Floors, R., A. N. Hahmann, A. Peña, and A. Peña, 2018: Evaluating Mesoscale Simulations of the Coastal Flow Using Lidar Measurements. Journal of Geophysical Research: Atmospheres, 123, 2718-2736, https://doi.org/10.1002/2017JD027504
Islam, M. A., A. Chan, M. J. Ashfold, C. G. Ooi, and M. Azari, 2018: Effects of El-Niño, Indian Ocean Dipole, and Madden-Julian Oscillation on surface air temperature and rainfall anomalies over Southeast Asia in 2015. Atmosphere, 9, https://doi.org/10.3390/atmos9090352
Jeon, Y., S. Moon, H. Lee, J. Baik, and J. Lkhamjav, 2018: Non-monotonic dependencies of cloud microphysics and precipitation on aerosol loading in deep convective clouds: A case study using the WRF model with bin microphysics. Atmosphere, 9(11), 434, https://doi.org/10.3390/atmos9110434
Lin, L., and Z. Pu, 2018: Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land-Atmosphere Data Assimilation. Journal of Applied Meteorology and Climatology, 57(11), 2507-2529, https://doi.org/10.1175/JAMC-D-18-0050.1
Zhang, J., L. Lin, and R. L. Bras, 2018: Evaluation of the quality of precipitation products: A case study using WRF and IMERG data over the central United States. Journal of Hydrometeorology, 19, 2007-2020, https://doi.org/10.1175/JHM-D-18-0153.1
2017
Macatangay, R., G. Bagtasa, and T. Sonkaew, 2017: Non-chemistry coupled PM10 modeling in Chiang Mai City, Northern Thailand: A fast operational approach for aerosol forecasts. Journal of Physics: Conference Series, Institute of Physics Publishing, https://doi.org/10.1088/1742-6596/901/1/012037
