Results 141 to 150 of about 1,912,794 (271)

ЎЗБЕКИСТOНДA ЁҒИНЛAР РЕЖИМИДAГИ ЎЗГAРИШЛAРНИ БAҲOЛAШ (ERA5-LAND РЕAНAЛИЗ МAЪЛУМOТЛAРИ AСOСИДA)

Aннoтaция. Тaдқиқoтдa ERA5-Land реaнaлиз мaълумoтлaри aсoсидa Ўзбекистoн ҳудудидa ёғингaрчиликнинг ўртaчa кўп йиллик тaқсимoти вa унинг 1961-1990 вa 1991-2020 йиллaр иқлимий дaврлaридaги ўзгaриши тaҳлил қилингaн. Нaтижaлaр ёғингaрчиликнинг яққoл ифoдaлaнгaн зoнaллиги мaвжудлигини кўрсaтди.
openaire   +2 more sources

Developing a Climate Impact Indicator Framework for the UK Agri‐Food Sector: A Literature Review and Stakeholder Co‐Production Approach

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
The paper outlines the methodology followed in choosing five key indicators which will be used in a forthcoming annual review of the impact of weather and climate on the UK agri‐food sector. This is done through an initial literature review, a synthesis of the currently understood impacts of weather and climate, and insights from group of experts and ...
James D. P. Mollard, Michelle Cain, George P. Burton, Thomas Crocker, Pete Falloon, Elena Hugo, David Lee, Jonathan Smith, Alison Brown   +8 more
wiley   +1 more source

Saline‐Water Irrigation Elicits Hormetic Yield Responses in Sweetpotato Across 28 Genotypes Under Field Conditions

Journal of Agronomy and Crop Science, Volume 212, Issue 6, November 2026.
ABSTRACT The use of saline water for irrigation is increasing as the quantity and quality of irrigation water resources are declining. Saline irrigation also provides a means to investigate crop responses to heterogenous salinity, which is a common occurrence in agricultural fields. Crop responses to salinity are dose‐ and genotype dependent, providing
Johanna Volk, Maria Isabel Andrade, Folkard Asch   +2 more
wiley   +1 more source

A Machine Learning Framework for Objective Definition and Projection of Meteorological Seasons: An Application to the Indian Subcontinent

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract Meteorological seasons are typically defined through fixed calendar intervals or region‐specific thresholds, yet such approaches fail to capture the actual variability of the annual cycle. Here we present a machine learning framework that objectively detects meteorological seasons and projects their future evolution.
Jacopo Grassi, Elisa Palazzi, Jost von Hardenberg, Paolo Davini   +3 more
wiley   +1 more source

Impacts of Sea Surface Temperature Warming Pattern Biases on Tropical Cyclone Activity and Hazard

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Most climate models simulate greater warming in the equatorial eastern Pacific than in the west under historical forcing, resulting in a reduced zonal sea surface temperature (SST) gradient and a weakened Walker circulation. This contrasts with observed trends and highlights a persistent model–observation discrepancy with far‐reaching impacts ...
Jing‐Yi Zhuo, Chia‐Ying Lee, Suzana J. Camargo, Adam H. Sobel, Gabriel A. Vecchi   +4 more
wiley   +1 more source

Assessing the Accuracy of ERA5-Land in Heatwave Monitoring

Annals of Computer Science and Information Systems
Panagiotis Ioannidis 0004, Anna Mamara, Athanassios A. Argiriou   +2 more
openaire   +2 more sources

Interpretable Machine Learning Reveals Global Nonlinear Responses of Soil Respiration to Climate

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Soil respiration (Rs) is a major component of the global carbon cycle, yet its responses to environmental drivers remain poorly constrained. Using 8,111 observations and a SHAP‐interpreted Random Forest model, we identified global response patterns for key environmental drivers of Rs.
Benjamin Laffitte, Zhihan Yang, Tao Zhou, Xiangjun Pei, Xiaolu Tang   +4 more
wiley   +1 more source

Reassessing Methanesulfonic Acid as a Sea Ice Proxy: An Example From the Weddell Sea Sector

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Antarctic sea ice has declined since 2015, but placing this trend in a longer‐term context remains challenging. Ice core methanesulfonic acid (MSA) offers a potential record of sea ice variability beyond the instrumental period, yet its applicability in sectors including the Weddell Sea remains unclear.
R. M. Smith, Z. C. Weich, C. Giorio, C. S. Allen, E. R. Thomas   +4 more
wiley   +1 more source

Changes in Flood Frequency and Seasonality Across Midwestern U.S. Watersheds Under a Warming Climate: Insights From Convection‐Permitting Climate Simulations and Physics‐Based Hydrologic Models

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract We combine CONUS404 convection‐permitting climate simulations with the physics‐based WRF‐Hydro model to assess how climate warming may influence flood frequency and seasonality across the Midwestern United States. This framework captures interactions among precipitation, soil moisture, and snowpack that shape flood generation.
Mohammad Abbasian, Daniel B. Wright, Michael Notaro, Steve Vavrus, Daniel J. Vimont   +4 more
wiley   +1 more source

Contribution of the Pacific Decadal Oscillation to Global Mean Sea Level Trends: Revisited

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Three decades of satellite altimeter observations reveal a continued rise in global mean sea level (GMSL), with the rate of rise reflecting the combined effects of decadal variability and long‐term warming. By decomposing 30‐year running trends of reconstructed sea level over 1950–2019, we quantify the contribution associated with the Pacific ...
Yingjie Wang, Xianyao Chen
wiley   +1 more source