Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210654321> ?p ?o ?g. }
- W4210654321 endingPage "034008" @default.
- W4210654321 startingPage "034008" @default.
- W4210654321 abstract "Abstract Land aridity is often characterized by the aridity index (AI), which does not account for land surface water-energy interactions that are crucially important in determining regional climate. Such interactions can be captured by the evaporative fraction (EF, ratio of evapotranspiration to available energy) regimes. As EF is subject to energy and water limitations in humid and dry areas, respectively, EF regimes may be used to characterize land aridity to account for the influence of complex land characteristics and their impact on water availability. Here, we propose a simple framework to characterize land aridity by statistically ranking the coupling strength between EF and surface energy and water terms. The framework is demonstrated using gridded data and compared with AI over the U.S. and China. Results show that regionalization of aridity zones based on EF regimes and a two-tiered classification scheme may provide information such as surface energy and water variability complementary to the background aridity depicted by AI, with implications for extreme events." @default.
- W4210654321 created "2022-02-08" @default.
- W4210654321 creator A5035529554 @default.
- W4210654321 creator A5042416269 @default.
- W4210654321 creator A5047322900 @default.
- W4210654321 creator A5050121035 @default.
- W4210654321 creator A5058780924 @default.
- W4210654321 creator A5081513542 @default.
- W4210654321 creator A5087402778 @default.
- W4210654321 date "2022-02-21" @default.
- W4210654321 modified "2023-10-16" @default.
- W4210654321 title "A simple framework to characterize land aridity based on surface energy partitioning regimes" @default.
- W4210654321 cites W1527723454 @default.
- W4210654321 cites W1528793132 @default.
- W4210654321 cites W1556835117 @default.
- W4210654321 cites W1584511518 @default.
- W4210654321 cites W1969974566 @default.
- W4210654321 cites W1977473269 @default.
- W4210654321 cites W1978800624 @default.
- W4210654321 cites W1991998586 @default.
- W4210654321 cites W2003707405 @default.
- W4210654321 cites W2028979033 @default.
- W4210654321 cites W2042073384 @default.
- W4210654321 cites W2099644586 @default.
- W4210654321 cites W2105431137 @default.
- W4210654321 cites W2135238358 @default.
- W4210654321 cites W2157980636 @default.
- W4210654321 cites W2169840829 @default.
- W4210654321 cites W2209829396 @default.
- W4210654321 cites W2353868709 @default.
- W4210654321 cites W2508111570 @default.
- W4210654321 cites W2518704075 @default.
- W4210654321 cites W2575270753 @default.
- W4210654321 cites W2575823240 @default.
- W4210654321 cites W2594224621 @default.
- W4210654321 cites W2620762709 @default.
- W4210654321 cites W2737640233 @default.
- W4210654321 cites W2771088022 @default.
- W4210654321 cites W2800088658 @default.
- W4210654321 cites W2801926003 @default.
- W4210654321 cites W2807409228 @default.
- W4210654321 cites W2810551812 @default.
- W4210654321 cites W2898962279 @default.
- W4210654321 cites W2900634410 @default.
- W4210654321 cites W2906766369 @default.
- W4210654321 cites W2914512071 @default.
- W4210654321 cites W2939471774 @default.
- W4210654321 cites W2960548043 @default.
- W4210654321 cites W3002343708 @default.
- W4210654321 cites W3010023817 @default.
- W4210654321 cites W3011100079 @default.
- W4210654321 cites W3048833500 @default.
- W4210654321 cites W3099804981 @default.
- W4210654321 cites W3133662003 @default.
- W4210654321 cites W3133996267 @default.
- W4210654321 cites W3164894235 @default.
- W4210654321 doi "https://doi.org/10.1088/1748-9326/ac50d4" @default.
- W4210654321 hasPublicationYear "2022" @default.
- W4210654321 type Work @default.
- W4210654321 citedByCount "0" @default.
- W4210654321 crossrefType "journal-article" @default.
- W4210654321 hasAuthorship W4210654321A5035529554 @default.
- W4210654321 hasAuthorship W4210654321A5042416269 @default.
- W4210654321 hasAuthorship W4210654321A5047322900 @default.
- W4210654321 hasAuthorship W4210654321A5050121035 @default.
- W4210654321 hasAuthorship W4210654321A5058780924 @default.
- W4210654321 hasAuthorship W4210654321A5081513542 @default.
- W4210654321 hasAuthorship W4210654321A5087402778 @default.
- W4210654321 hasBestOaLocation W42106543211 @default.
- W4210654321 hasConcept C100970517 @default.
- W4210654321 hasConcept C119857082 @default.
- W4210654321 hasConcept C127313418 @default.
- W4210654321 hasConcept C150772632 @default.
- W4210654321 hasConcept C164270790 @default.
- W4210654321 hasConcept C176783924 @default.
- W4210654321 hasConcept C187320778 @default.
- W4210654321 hasConcept C18903297 @default.
- W4210654321 hasConcept C189430467 @default.
- W4210654321 hasConcept C205649164 @default.
- W4210654321 hasConcept C39432304 @default.
- W4210654321 hasConcept C41008148 @default.
- W4210654321 hasConcept C49204034 @default.
- W4210654321 hasConcept C76886044 @default.
- W4210654321 hasConcept C86803240 @default.
- W4210654321 hasConcept C91586092 @default.
- W4210654321 hasConceptScore W4210654321C100970517 @default.
- W4210654321 hasConceptScore W4210654321C119857082 @default.
- W4210654321 hasConceptScore W4210654321C127313418 @default.
- W4210654321 hasConceptScore W4210654321C150772632 @default.
- W4210654321 hasConceptScore W4210654321C164270790 @default.
- W4210654321 hasConceptScore W4210654321C176783924 @default.
- W4210654321 hasConceptScore W4210654321C187320778 @default.
- W4210654321 hasConceptScore W4210654321C18903297 @default.
- W4210654321 hasConceptScore W4210654321C189430467 @default.
- W4210654321 hasConceptScore W4210654321C205649164 @default.
- W4210654321 hasConceptScore W4210654321C39432304 @default.
- W4210654321 hasConceptScore W4210654321C41008148 @default.
- W4210654321 hasConceptScore W4210654321C49204034 @default.