Results 211 to 220 of about 2,888 (290)

Global monthly CMIP6-downscaled high-resolution (1 km) near-surface air temperature dataset (1950-2100). [PDF]

Sci Data
Lei X, Meng Q, Luo M, Zhang L, Yin M, Liu L, Zhao Q.   +6 more
europepmc   +1 more source

Soil Organic Matter Reduces Persistent Nighttime Surface Warm Bias in Convection‐Permitting U.S. Simulations

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Convection‐permitting modeling has become a cornerstone for improving representation of land‐atmosphere processes, predicting weather extremes, and creating long‐term hydrometeorological data sets. The convection‐permitting Weather Research and Forecasting (WRF) modeling with the NoahMP land‐surface scheme is widely used for kilometer‐scale ...
Tzu‐Shun Lin, Cenlin He, Changhai Liu, Ronnie Abolafia‐Rosenzweig, Jimy Dudhia, Michael J. Barlage, Zhe Zhang, Andrew J. Newman   +7 more
wiley   +1 more source

Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets. [PDF]

Sci Rep
Alasqah A, Tayyeh HK, Mohammed R, Hussein AM, Khedher KM, Benzougagh B.   +5 more
europepmc   +1 more source

Post‐Eruption Tropical Cyclone Genesis Potential Change Over the Western North Pacific Modulated by Initial Oceanic Conditions

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract How tropical cyclone (TC) frequency may change following volcanic eruptions remains debated, owing to limited contemporary eruption samples. Using last‐millennium multi‐member simulations with CESM, we show that post‐eruption TC genesis potential over the western North Pacific consistently decreases during the storm season following extremely ...
Dubin Huan, Qing Yan, Jinzhe Zhang
wiley   +1 more source

A 30-yr high-resolution weather research and forecasting model downscaling data over California and Nevada. [PDF]

Data Brief
Jones C, Lucas DD, Bagley A, Thompson C.
europepmc   +1 more source

Dynamical downscaling using a regional climate model

Proceeding of Annual Conference, 2008
DAIRAKU, KOJI, IIZUKA, SATOSHI, SASAKI, WATARU, Beltran, Adriana, Pielke Sr., Roger A.   +4 more
openaire   +1 more source

Mapping the Interannual Variability of Irrigated Area Using Categorical Sampling and Machine Learning

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Accurate irrigated area (IA) mapping is essential for hydrological and climate modeling. However, existing IA mapping approaches typically rely on persistently irrigated or non‐irrigated samples, which has reduced sensitivity to year‐to‐year IA variability.
Xin Tian, Jianzhi Dong, Yuanyuan Zha, Jianhong Zhou, Dexing Zhao, Xi Chen, Shuangyan Jin, Yaxin Zhang, Lingna Wei   +8 more
wiley   +1 more source

Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions. [PDF]

Sci Data
Kim T, Villarini G, Done JM, Prein AF, Johnson DR, Wang C.   +5 more
europepmc   +1 more source

Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia

International Journal of Climatology, Volume 46, Issue 7, 15 June 2026.
In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai, Masayasu Irie   +1 more
wiley   +1 more source

Projected Intensification of Hydroclimatic Extremes in Rio Grande do Norte, Brazil, Under CMIP6 Scenarios

International Journal of Climatology, Volume 46, Issue 7, 15 June 2026.
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley   +1 more source