Jiali Wang
Zitiert von
Zitiert von
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
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
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
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
Areal differences in diurnal variations in summer precipitation over Beijing metropolitan region
J Wang, R Zhang, Y Wang
Theoretical and Applied Climatology 110 (3), 395-408, 2012
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
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
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
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
Evaluations of high-resolution dynamically downscaled ensembles over the contiguous United States
Z Zobel, J Wang, DJ Wuebbles, VR Kotamarthi
Climate Dynamics 50 (3), 863-884, 2018
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 (9), 2833-2849, 2016
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
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
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
Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking
W Chang, J Wang, J Marohnic, VR Kotamarthi, EJ Moyer
Climate Dynamics 55 (1), 175-192, 2020
Numerical simulation and analysis of the April 2013 Chicago Floods
E Campos, J Wang
Journal of Hydrology 531, 454-474, 2015
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
A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States
J Wang, C Wang, V Rao, A Orr, E Yan, R Kotamarthi
Geoscientific Model Development 12 (8), 3523-3539, 2019
Internal variability of a dynamically downscaled climate over North America
J Wang, J Bessac, R Kotamarthi, E Constantinescu, B Drewniak
Climate Dynamics, 1-21, 2017
Changes in future precipitation mean and variability across scales
K Schwarzwald, A Poppick, M Rugenstein, J Bloch-Johnson, J Wang, ...
Journal of Climate 34 (7), 2741-2758, 2021
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