Results 91 to 100 of about 11,549 (247)
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
wiley +1 more source
Evapotranspiration Profiles and Trends in Seasonally Dry and Seasonally Humid Tropical Forests
Moisture availability and vegetation are decisive factors in ET variations, which are greater in the Atlantic Forest. Precipitation contributes positively to ET variations (r = 0.20–0.67). Significant trends (p < 0.05) in ET were identified, with opposing patterns.
Lucas de Morais Teixeira +5 more
wiley +1 more source
Evaluation of CMIP6 Models in Simulating Australian Monsoon Over Northern Australia
The study assesses CMIP6 models for their ability to simulate key aspects of the Australian summer monsoon, including precipitation patterns, wind circulation, monsoon onset/retreat, and ENSO teleconnections. Most models overestimate rainfall, underestimate wind strength, and simulate more uniform ENSO influence across northeast and northwest Australia.
Rida S. Kiani +4 more
wiley +1 more source
Assessing Past and Future Temperature‐ and Precipitation‐Based Indicators in the Republic of Yemen
For the first time in the literature, this work assesses the past and future climatic trends over Yemen, a highly vulnerable country for which science‐based, high‐quality information for the development of climate change adaptation plans was not available until now.
Jorge Alvar‐Beltrán +5 more
wiley +1 more source
This review explores climate predictions as actionable decision‐making tools, focusing on the Mediterranean. It examines transforming forecasts into user‐defined information through bias adjustment, downscaling and impact models. Highlighting collaborative EU initiatives, it addresses challenges like limited forecasting skill and data accessibility ...
Silvio Gualdi +12 more
wiley +1 more source
A transient ensemble of convection‐permitting climate simulations is used to compute bias‐corrected user‐relevant climate indices for Germany under recent and future climate conditions, both considering high spatial resolution and uncertainty estimations. For high temperature indices, a clear increase is observed, for example, for hot days and tropical
Joaquim G. Pinto +6 more
wiley +1 more source
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
Empirical-statistical downscaling
Copy of text book on empirical-statistical ...
openaire +1 more source
Projected Evolution of Climatic Aridity in Spain: Robust Signals and Model Uncertainties
This study examines the projected evolution of climatic aridity in Spain throughout the 21st century, using the UNEP Aridity Index and CMIP6 simulations under different emission scenarios and global warming levels. Despite model biases, results show a general increase in aridity across the country, particularly in southern regions and the Canary ...
Víctor Trullenque‐Blanco +5 more
wiley +1 more source
Drought spatiotemporal propagation and direct driving variables are assessed at multiple time steps with high spatial resolution using various drought indices (SPI, SPEI and SPDI) and entropy based mutual information under an ensemble of climate change projections over Tunisia. ABSTRACT Projecting drought occurrence and spatiotemporal propagation under
Haykel Sellami
wiley +1 more source

