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Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review
Y Sun, K Deng, K Ren, J Liu, C Deng, Y ** - ISPRS Journal of …, 2024 - Elsevier
Nowadays, meteorological data plays a crucial role in various fields such as remote sensing,
weather forecasting, climate change, and agriculture. The regional and local studies call for …
weather forecasting, climate change, and agriculture. The regional and local studies call for …
Future trade-offs and synergies among ecosystem services in Mediterranean forests under global change scenarios
Mediterranean forests play a key role in providing services and goods to society, and are
currently threatened by global change. We assessed the future provision of ecosystem …
currently threatened by global change. We assessed the future provision of ecosystem …
Positive relationship between bird diversity and human mental health: an analysis of repeated cross-sectional data
J Methorst - The Lancet Planetary Health, 2024 - thelancet.com
Background An increasing body of research has examined the link between biodiversity of
birds and human mental health, but most studies only use cross-sectional data. Few studies …
birds and human mental health, but most studies only use cross-sectional data. Few studies …
Future impact of climate extremes in the Mediterranean: Soil erosion projections when fire and extreme rainfall meet
Climate change projections over the Mediterranean basin point toward an increase in
frequency and intensity of extreme events that will directly impact ecosystems resilience. In …
frequency and intensity of extreme events that will directly impact ecosystems resilience. In …
[HTML][HTML] Available and missing data to model impact of climate change on European forests
Climate change is expected to cause major changes in forest ecosystems during the 21 st
century and beyond. To assess forest impacts from climate change, the existing empirical …
century and beyond. To assess forest impacts from climate change, the existing empirical …
Spatial entropy for biodiversity and environmental data: The R-package SpatEntropy
Entropy measures are standard tools in environmental and ecological sciences to describe
the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of …
the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of …
ClimateDT: A global scale-free dynamic downscaling portal for historic and future climate data
Statistical downscaling of climate data has been widely described in the literature, with the
aim of improving the reliability of local climatic parameters from coarse-resolution (often> 20 …
aim of improving the reliability of local climatic parameters from coarse-resolution (often> 20 …
[HTML][HTML] Using spectral indices as early warning signals of forest dieback: The case of drought-prone Pinus pinaster forests
Forest dieback processes linked to drought are expected to increase due to climate
warming. Remotely sensed data offer several advantages over common field monitoring …
warming. Remotely sensed data offer several advantages over common field monitoring …
Medium-range forecasting of daily reference evapotranspiration across China using numerical weather prediction outputs downscaled by extreme gradient boosting
Ahead forecasting of daily reference evapotranspiration (ET 0) is of great significance for
real-time irrigation decision-making, water resources allocation and hydrological drought …
real-time irrigation decision-making, water resources allocation and hydrological drought …
Empirical models for spatio-temporal live fuel moisture content estimation in mixed mediterranean vegetation areas using sentinel-2 indices and meteorological data
Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly
contributing to fire ignition and propagation. Develo** models capable of accurately …
contributing to fire ignition and propagation. Develo** models capable of accurately …