Missing data is a common problem across numerous real-world datasets, particularly in domains such as climate research where data is frequently inadequate because of environmental conditions, defective sensors or human mistakes.
Anoop Kumar +2 more
doaj +1 more source
An improved deep learning procedure for statistical downscaling of climate data. [PDF]
Kheir AMS +3 more
europepmc +1 more source
Future climate projections. Union County : August 2023
In this report, we present climate projections for Union County that are relevant to specified natural hazards for the 2020s (2010–2039) and 2050s (2040–2069) relative to the 1971–2000 historical baseline.
Fleishman, Erica +3 more
core +3 more sources
Networks analysis of Brazilian climate data based on the DCCA cross-correlation coefficient. [PDF]
Oliveira Filho FM +2 more
europepmc +1 more source
Climate data for hygrothermal simulations of Brussels. [PDF]
Vandemeulebroucke I +2 more
europepmc +1 more source
Future climate projections. Douglas County : May 2023
In this report, we present climate projections for Douglas County that are relevant to specified natural hazards for the 2020s (2010–2039) and 2050s (2040–2069) relative to the 1971–2000 historical baseline.
Fleishman, Erica +3 more
core +2 more sources
Habitat Temperatures of the Red Firebug, <i>Pyrrhocoris apterus</i>: The Value of Small-Scale Climate Data Measurement. [PDF]
Käfer H, Kovac H, Stabentheiner A.
europepmc +1 more source
Deep generative model super-resolves spatially correlated multiregional climate data. [PDF]
Oyama N +3 more
europepmc +1 more source
Smart crop recommendation: fusing nutrient and climate data with Krill Herd Optimization and explainable AI. [PDF]
Latha P, Kumaresan P.
europepmc +1 more source
One Health surveillance integrating human, mosquito, and climate data for early warning of chikungunya outbreaks in East Africa. [PDF]
Hussein MA +4 more
europepmc +1 more source

