Results 81 to 90 of about 6,035 (266)
Machine Learning. EarthAccurate high-resolution precipitation data is critical for climate risk assessment in Sub-Saharan Africa, yet global climate models operate at coarse resolutions, failing to capture localized extremes.
Jangho Lee, Sara Shamekh
doaj +1 more source
An improved deep learning procedure for statistical downscaling of climate data. [PDF]
Heliyon, 2023 Kheir AMS +3 more
europepmc +1 more source
International Journal of Climatology, EarlyView.ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
Downscaling of PDFs of daily air temperature in northern Poland: assessment of predictors
Meteorologische Zeitschrift, 2014 The aim of the research was to validate a set of potential predictors for daily air temperature probability density function (PDF) parameters in northern Poland.
Michał Marosz, Ewa Jakusik
doaj +1 more source
High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method. [PDF]
Sci Data, 2023 Rettie FM +4 more
europepmc +1 more source
A Zonal‐Meridional Projection Method for Quantifying Global Land‐Ocean Moisture Transport
International Journal of Climatology, EarlyView.We present a physically consistent and computationally efficient method to quantify global coastal moisture transport by projecting vertically integrated moisture flux onto signed land–ocean boundary segments. The signed projection naturally distinguishes ocean‐to‐land inflow and land‐to‐ocean outflow without explicit directional classification ...
Chong Zhang +2 more
wiley +1 more source
Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates. [PDF]
Stoch Environ Res Risk Assess, 2023 Şan M, Nacar S, Kankal M, Bayram A.
europepmc +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Soil organic carbon density (SOCD) is a key indicator for evaluating the stability of soil carbon pools, especially in alpine ecosystems that are sensitive to climate change. However, research on the response of SOCD to different aridity gradients is still limited. Therefore, we conducted extensive sampling along different aridity gradients of
Qiao Cui +5 more
wiley +1 more source
Statistical downscaling with spatial misalignment: Application to wildland fire PM<sub>2.5</sub> concentration forecasting. [PDF]
J Agric Biol Environ Stat, 2021 Majumder S +4 more
europepmc +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Maintaining balanced interactions between humans and ecosystems in plateau regions is critical to achieving global sustainable development. However, existing methodologies are insufficient to fully elucidate the complex coupling and coordination relationships between human activities and ecosystems, as well as the sustainable development ...
Yaohang Sun +5 more
wiley +1 more source