Results 171 to 180 of about 29,437 (300)
Equatorial Pacific pCO2 Interannual Variability in CMIP6 Models
, 2022 Suki Cheuk-Kiu Wong +2 more
openalex +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Atmospheric deposition of dissolved inorganic phosphorus (DIP) is crucial to nutrient cycling but remains poorly constrained in chemical transport models (CTMs). Large uncertainties in phosphorus emissions and aerosol dissolution processes challenge the reliable estimates of DIP fluxes.
Hongxuan Jiang +3 more
wiley +1 more source
Projected Climate Change Indices over Central Europe Using Dynamically Downscaled CMIP6 Models
, 2022 Saoussen Dhib, Tomáš Halenka
openalex +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.Abstract Atmospheric ozone is a crucial absorber of solar radiation and an important greenhouse gas. However, most climate models participating in the Coupled Model Intercomparison Project (CMIP) still lack an interactive representation of ozone due to the high computational costs of atmospheric chemistry schemes. Here, we introduce a machine learning (
Yiling Ma +8 more
wiley +1 more source
Plant Physiology Increases the Magnitude and Spread of the Transient Climate Response to CO2 in CMIP6 Earth System Models [PDF]
, 2020 Claire M. Zarakas +4 more
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Climate Change Impacts on Hydrology in the Upper James Watershed, Virginia
JAWRA Journal of the American Water Resources Association, Volume 62, Issue 2, April 2026.ABSTRACT Hydrological modeling of the Upper James Watershed (UJW), Virginia, is critical for predicting water availability, flood management, agriculture, ecosystem protection, and hydropower production under increasing climate change. The Hydrologic Engineering Center–Hydrologic Modeling System (HEC‐HMS) is applied to evaluate climate change impacts ...
Imiya Mudiyanselage Chathuranika +1 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.Abstract The monsoon intraseasonal oscillation (MISO) modulates heavy precipitation during the Indian summer monsoon, but accurate rainfall simulation remains a challenge in state‐of‐the‐art models. Our analysis reveals a moisture bias in MISO using simulations from the sixth phase of the Coupled Model Intercomparison Project models.
Qingjian Shi, Jianhuang Qin, Baosheng Li
wiley +1 more source