| The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2 Z Jin, Q Zhuang, J Wang, SV Archontoulis, Z Zobel, VR Kotamarthi Global change biology 23 (7), 2687-2704, 2017 | 159 | 2017 |
| High‐resolution dynamically downscaled projections of precipitation in the mid and late 21st century over North America J Wang, Rao Kotamarthi Earth's Future 3 (7), 268-288, 2015 | 106 | 2015 |
| Changes in Spatio-temporal Precipitation Patterns in Changing Climate Conditions W Chang, M Stein, J Wang, VR Kotamarthi, E Moyer Journal of Climate 29, 8355-8376, 2016 | 86 | 2016 |
| US wildfire potential: a historical view and future projection using high-resolution climate data EK Brown, J Wang, Y Feng Environmental Research Letters 16 (3), 034060, 2021 | 58 | 2021 |
| Fast and accurate learned multiresolution dynamical downscaling for precipitation J Wang, Z Liu, I Foster, W Chang, R Kettimuthu, VR Kotamarthi Geoscientific Model Development 14 (10), 6355-6372, 2021 | 52 | 2021 |
| Downscaling with a nested regional climate model in near‐surface fields over the contiguous United States J Wang, VR Kotamarthi Journal of Geophysical Research: Atmospheres 119 (14), 8778-8797, 2014 | 52 | 2014 |
| Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model J Wang, P Balaprakash, R Kotamarthi Geoscientific Model Development 12 (10), 4261-4274, 2019 | 49 | 2019 |
| Projected US drought extremes through the twenty-first century with vapor pressure deficit BL Gamelin, J Feinstein, J Wang, J Bessac, E Yan, VR Kotamarthi Scientific Reports 12 (1), 8615, 2022 | 43 | 2022 |
| High‐resolution dynamical downscaling ensemble projections of future extreme temperature distributions for the United States Z Zobel, J Wang, DJ Wuebbles, VR Kotamarthi Earth's Future 5 (12), 1234-1251, 2017 | 42 | 2017 |
| Evaluations of high-resolution dynamically downscaled ensembles over the contiguous United States Z Zobel, J Wang, DJ Wuebbles, VR Kotamarthi Climate Dynamics 50, 863-884, 2018 | 39 | 2018 |
| Analyses for high‐resolution projections through the end of the 21st century for precipitation extremes over the United States Z Zobel, J Wang, DJ Wuebbles, VR Kotamarthi Earth's Future 6 (10), 1471-1490, 2018 | 38 | 2018 |
| Model performance in spatio‐temporal patterns of precipitation: New methods for identifying value added by a regional climate model Jiali Wang, FNU Swati, Michael Stein, VR Kotamarthi Journal of Geophysical Research: Atmospheres 120 (4), 1239-1259, 2015 | 38 | 2015 |
| Consideration of land use change-induced surface albedo effects in life-cycle analysis of biofuels H Cai, J Wang, Y Feng, M Wang, Z Qin, JB Dunn Energy & Environmental Science 9 (9), 2855-2867, 2016 | 37 | 2016 |
| Assessment of dynamical downscaling in near-surface fields with different spectral nudging approaches using the nested regional climate model (NRCM) J Wang, VR Kotamarthi Journal of Applied Meteorology and Climatology 52 (7), 1576-1591, 2013 | 35 | 2013 |
| Impact of different roofing mitigation strategies on near-surface temperature and energy consumption over the Chicago metropolitan area during a heatwave event H Tan, R Kotamarthi, J Wang, Y Qian, TC Chakraborty Science of the Total Environment 860, 160508, 2023 | 34 | 2023 |
| Areal differences in diurnal variations in summer precipitation over Beijing metropolitan region J Wang, R Zhang, Y Wang Theoretical and Applied Climatology 110, 395-408, 2012 | 34 | 2012 |
| Evaluation of dynamically downscaled extreme temperature using a spatially-aggregated generalized extreme value (GEV) model J Wang, Y Han, ML Stein, VR Kotamarthi, WK Huang Climate dynamics 47, 2833-2849, 2016 | 30 | 2016 |
| Impacts of lake surface temperature on the summer climate over the Great Lakes Region J Wang, P Xue, W Pringle, Z Yang, Y Qian Journal of Geophysical Research: Atmospheres 127 (11), e2021JD036231, 2022 | 27 | 2022 |
| Characteristics of Precipitation in Beijing and the Precipitation Representativeness of Beijing Weather Observatory (in Chinese, with English abstract) Jiali Wang, Renhe Zhang, Yingchun Wang Journal of Applied Meteorological Science 23 (3), 265-273, 2012 | 20 | 2012 |
| Efficient high-dimensional variational data assimilation with machine-learned reduced-order models R Maulik, V Rao, J Wang, G Mengaldo, E Constantinescu, B Lusch, ... Geoscientific Model Development 15 (8), 3433-3445, 2022 | 19 | 2022 |
Rao KotamarthiArgonne National Laboratory/University of ChicagoVerified email at anl.gov
