Results 71 to 80 of about 1,912,794 (271)

Regional frequency analysis, bias correction and downscaling of ERA5-Land snow related variables

Weather and Climate Extremes
This paper proposes the regional frequency analysis, bias correction and downscaling of ERA5-Land snow depth and increase of snow depth over three consecutive days, with the aim of quantifying design loads at ungauged sites and accurately assessing ...
Sophie Fontana, Davide Pasquali, Marco Cordeschi, Marcello Di Risio   +3 more
doaj   +1 more source

Climate Change Projections for Mexico in the 21st Century

International Journal of Climatology, EarlyView.
Projected national temperature by the end of the century under four SSP scenarios. Under the low‐emission pathway (SSP1‐2.6), warming increases more gradually, whereas under the high‐emission scenario (SSP5‐8.5), temperatures exceed 5°C by 2100. These results strengthen the scientific basis for climate adaptation planning and long‐term decision‐making ...
Arhat Tejeda‐Aguilar, Guillermo Murray‐Tortarolo, Oscar Calderón‐Bustamante, Francisco Estrada Porrúa   +3 more
wiley   +1 more source

Improving Daily Rainfall Downscaling Over Taiwan's Complex Terrain With Surface‐Wind‐Informed Deep Learning Model

International Journal of Climatology, EarlyView.
An encoder–decoder architecture (EDA) dynamically downscales coarse‐resolution climate fields (0.25°) to high‐resolution outputs (0.05°) over Taiwan, improving the representation of fine‐scale spatial variability and localized extremes by incorporating both rainfall and surface winds to maintain physical consistency.
Yi‐Chi Wang, Chia‐Hao Chiang, Chiung‐Jui Su, Ko‐Chih Wang, Wan‐Ling Tseng, Hsin‐Chien Liang   +5 more
wiley   +1 more source

coecms/era5: python base codes to interface the CDS api and automate ERA5 download: first release v0.1

, 2019
The era5 python code is an interface to the CDS api to donwload ERA5 data from the CDS data server. It uses a modified version of the CDS api which stops after a request has been submitted and executed.
Paola Petrelli
core   +1 more source

Congo Air Boundary Breakdown Timing and Its Connection to Southern African Rainfall Onset in Reanalyses and Historical CMIP6 Models

International Journal of Climatology, EarlyView.
The Congo Air Boundary (CAB) occurs where two air masses with different humidities meet over Africa. The CAB is investigated in three reanalyses, datasets combining observations with forecasts. Between 1980 and 2010, the reanalyses show that when the CAB reduces in daily frequency between August and December, rainfall over central southern Africa ...
Sophie Harbord, Neil C. G. Hart, Richard G. Jones, Richard Washington   +3 more
wiley   +1 more source

Added Value of CESM‐Driven WRF for Mean and Extreme Precipitation Over Complex Terrain in Southwest Asia

International Journal of Climatology, EarlyView.
Southwest Asia remains understudied in high‐resolution regional climate modelling despite its climatic sensitivity and complex orography. We compare WRF (10 km), CESM (~2°), and ERA5 (0.25°) for 1950–2002, with supplementary validation against CHIRPS and PERSIANN‐CDR. WRF corrects the unrealistic summer precipitation overestimation of CESM and improves
Markella Bouchorikou, Thi Quynh Trang Nguyen, Dominik Fleitmann, Morteza Djamali, Martina Messmer, Christoph C. Raible   +5 more
wiley   +1 more source

Rethinking design rainfall estimation under non-stationary extremes and imperfect reanalysis data

Journal of Hydrology and Hydromechanics
Design rainfall return levels are critical inputs for engineering applications such as urban drainage design, flood mitigation, resilient transport infrastructure and climate-sensitive planning.
Touloumidis Dimos, Oikonomou Efstathios K.   +1 more
doaj   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

From grid to ground: how well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events? [PDF]

Hydrology and Earth System Sciences
Soil moisture (SM) is a critical variable governing land–atmosphere interactions and influencing ecohydrological and climatic processes. Despite substantial progress in estimating SM through remote sensing and land surface models, considerable ...
D. A. Núñez-Ibarra, D. A. Núñez-Ibarra, D. A. Núñez-Ibarra, M. Zambrano-Bigiarini, M. Zambrano-Bigiarini, M. Galleguillos, M. Galleguillos, M. Galleguillos, M. Galleguillos, M. Galleguillos   +9 more
doaj   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source