Results 121 to 130 of about 10,908 (283)
We downscale CanESM2 with the Regional Climate Model version 4 (20 km) and evaluate against 15 stations to derive monthly PET (Hargreaves–Samani) and SPEI for northeastern Iran (1990–2009, 2040–2059, 2080–2099). Results show robust PET increases and a shift toward more negative monthly SPEI—especially April–September—indicating earlier onset and longer
Nasrin Salehnia +6 more
wiley +1 more source
Leaf area index (LAI) is one of key variables for depicting vegetation structures in land ecosystems. Land surface models necessitate uniform LAI inputs at varying spatial scales to ensure accurate outputs at multiscale levels, however, operational ...
Huaan Jin +6 more
doaj +1 more source
Global reanalyses, for example ERA5 and ERA5‐Land, tend to misrepresent the local‐scale weather extremes due to the limited spatial resolution. In this paper CERRA shows clear and consistent improvements over ERA5 and ERA5‐Land in representing extreme temperature and precipitation in Poland, particularly for localized and short‐lived heavy rainfall ...
Kinga Kulesza +2 more
wiley +1 more source
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu +3 more
wiley +1 more source
Comparative assessment of image super-resolution techniques for spatial downscaling of gridded rainfall data [PDF]
With an increasing focus on improving localized understanding of weather and climate phenomena and the computation cost involved in high-resolution modelling, spatial downscaling of data has proven to be a viable alternative method to obtain high ...
Kumar, Pankaj +2 more
core +1 more source
Spatial downscaling of survey data: a new approach
This article presents some innovative and useful extensions to the spatial downscaling method proposed by Izaguirre in ‘Geographic disaggregation of household surveys. Modified estimators for correcting misclassification bias’, in 2025, Spatial Economic Analysis, 107–127.
openaire +1 more source
Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis
Budyko‐based analysis evaluates historical (1962–2005) and future hydroclimatic change across the Indus River Basin. Budyko shifts indicate rising atmospheric evaporative demand and increasing energy limitation under future scenarios. ABSTRACT Assessing hydroclimatic variability and future water availability is crucial for sustainable water‐resource ...
Muhammad Arif +3 more
wiley +1 more source
Exploring Accurate Spatial Downscaling using Optimization
This papers proposes to combine several downscaling processes based on expert knowledge and objective functions from Operations Research to fill a table of social data about illiteracy in the USA during the Thirties.
Poss, Michael, Josselin, Didier
openaire +1 more source
Characterising City Scale Heat Climatology for Australian Climate Zones
The Urban Heat Island (UHI) effect in Australian cities peaks at night, intensifying under dry conditions, clear skies, increased solar radiation, and low wind speeds. Long‐term observations show that nighttime temperatures in major cities have warmed faster than their rural surroundings and future climate projections fail to capture this disparity ...
Vihan C. N. Weeraratne +4 more
wiley +1 more source
Surface soil moisture (SM) plays an important role in water and energy cycles. Passive microwave remote sensing observation has become the main means of obtaining large-scale surface SM.
Zhenheng Xu +6 more
doaj +1 more source

