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[HTML][HTML] Enhancing the accuracy of wind power projections under climate change using geospatial machine learning models
This paper presents a geospatial artificial intelligence (GeoAI) approach for generating wind
power projection maps employing various Machine Learning (ML) models. These models …
power projection maps employing various Machine Learning (ML) models. These models …
Simulating heat and CO2 fluxes in Bei**g using SUEWS V2020b: Sensitivity to vegetation phenology and maximum conductance
The Surface Urban Energy and Water Balance Scheme (SUEWS) has recently been
introduced to include a bottomup approach to modelling carbon dioxide (CO 2) emissions …
introduced to include a bottomup approach to modelling carbon dioxide (CO 2) emissions …
Climate Variability of Air Temperature and Its Warming Trends in the Arabian Gulf
Abstract Over a 41-year period (1979–2019), the climate of the Arabian Gulf (Gulf) exhibited
notable variability. This variation, influenced by mesoscale and globalscale meteorological …
notable variability. This variation, influenced by mesoscale and globalscale meteorological …
The Teddy-Tool v1. 0: temporal disaggregation of daily climate model data for climate impact analysis
Climate models provide required input data for global or regional climate impact analysis in
aggregated form, often on a daily basis to save space on data servers. Today, many impact …
aggregated form, often on a daily basis to save space on data servers. Today, many impact …
A unifying principle for global greenness patterns and trends
Vegetation cover regulates the exchanges of energy, water and carbon between land and
atmosphere. Remotely-sensed fractional absorbed photosynthetically active radiation …
atmosphere. Remotely-sensed fractional absorbed photosynthetically active radiation …
[PDF][PDF] Open Research Data Availability for" Accelerated Historical and Future Warming in the Middle East and North Africa"
1 Open Research Data Availability for Accelerated Historical and Future Warming over the
Middle East and North Africa in Respons Page 1 1 Open Research Data Availability for …
Middle East and North Africa in Respons Page 1 1 Open Research Data Availability for …
[PDF][PDF] Energy Reports
This paper presents a geospatial artificial intelligence (GeoAI) approach for generating wind
power projection maps employing various Machine Learning (ML) models. These models …
power projection maps employing various Machine Learning (ML) models. These models …