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Weather and climate extreme events in a changing climate
Caption: Table A. 11. 2. Synthesis table summarising assessments presented in Tables 11.4-
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …
Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought
H Tabari, SM Paz, D Buekenhout… - Hydrology and Earth …, 2021 - hess.copernicus.org
General circulation models (GCMs) are the primary tools for evaluating the possible impacts
of climate change; however, their results are coarse in temporal and spatial dimensions. In …
of climate change; however, their results are coarse in temporal and spatial dimensions. In …
Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains
C Lin, E Kjellström, RAI Wilcke… - Earth System Dynamics, 2022 - esd.copernicus.org
This study investigates present and future European heat wave magnitudes, represented by
the Heat Wave Magnitude Index-daily (HWMId), for regional climate models (RCMs) and the …
the Heat Wave Magnitude Index-daily (HWMId), for regional climate models (RCMs) and the …
Various ways of using empirical orthogonal functions for climate model evaluation
We present a framework for evaluating multi-model ensembles based on common empirical
orthogonal functions (common EOFs) that emphasize salient features connected to spatio …
orthogonal functions (common EOFs) that emphasize salient features connected to spatio …
Downscaling the probability of heavy rainfall over the Nordic countries
We used empirical–statistical downscaling to derive local statistics for 24 h and sub-daily
precipitation over the Nordic countries, based on large-scale information provided by global …
precipitation over the Nordic countries, based on large-scale information provided by global …
A Norwegian approach to downscaling
RE Benestad - Geoscientific Model Development Discussions, 2021 - gmd.copernicus.org
A description of a comprehensive geoscientific downscaling model strategy is presented
outlining an approach that has evolved over the last 20 years, together with an explanation …
outlining an approach that has evolved over the last 20 years, together with an explanation …
Data science and climate risk analytics
SR Sain - Environmetrics, 2023 - Wiley Online Library
With influences from different communities, data science has evolved to provide insights in
many different data‐driven environments, including climate science. In this article, a brief …
many different data‐driven environments, including climate science. In this article, a brief …
Utilization of Heat Susceptibility Index for Comparative Evaluation of Consistent Yield Performance in Wheat Under Heat Stress
K Devi, S Chahal, GC Pandey, Rinki… - National Academy Science …, 2022 - Springer
High-yielding and heat-tolerant wheat cultivars will be crucial in establishing tolerance into
the wheat breeding programme under the changing climate scenario. The current study is a …
the wheat breeding programme under the changing climate scenario. The current study is a …
Downscaling the probability of heavy rainfall over the Nordic countries
We used empirical-statistical downscaling to derive local statistics for 24-hr and sub-daily
precipitation over the Nordic countries, based on large-scale information provided by global …
precipitation over the Nordic countries, based on large-scale information provided by global …
[PDF][PDF] SPM
This chapter assesses the scientific literature produced after the Intergovernmental Panel on
Climate Change (IPCC) 5th Assessment Report (AR5) dealing with past, current and future …
Climate Change (IPCC) 5th Assessment Report (AR5) dealing with past, current and future …