The challenge of accurately quantifying future megadrought risk in the American Southwest

American Southwest (ASW) megadroughts represent decadal-scale periods of dry conditions, the near-term risks of which arise from natural low-frequency hydroclimate variability and anthropogenic forcing. A large single-climate-model ensemble indicates anthropogenic forcing increases near-term ASW meg...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Geophysical research letters. - 1984. - Volume 43(2016), Iss 17 vom: 16. Sept., Seite 9225-9233
1. Verfasser: Coats, Sloan (VerfasserIn)
Weitere Verfasser: Mankin, Justin S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Geophysical research letters
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM311795781
003 DE-627
005 20231225143025.0
007 cr uuu---uuuuu
008 231225s2016 xx |||||o 00| ||eng c
024 7 |a 10.1002/2016gl070445  |2 doi 
028 5 2 |a pubmed24n1039.xml 
035 |a (DE-627)NLM311795781 
035 |a (NLM)32601513 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Coats, Sloan  |e verfasserin  |4 aut 
245 1 4 |a The challenge of accurately quantifying future megadrought risk in the American Southwest 
264 1 |c 2016 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 10.01.2021 
500 |a published: Print-Electronic 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a American Southwest (ASW) megadroughts represent decadal-scale periods of dry conditions, the near-term risks of which arise from natural low-frequency hydroclimate variability and anthropogenic forcing. A large single-climate-model ensemble indicates anthropogenic forcing increases near-term ASW megadrought risk by a factor of 100, however, accurate risk assessment remains a challenge. At the global-scale we find that anthropogenic forcing may alter the variability driving megadroughts over 55% of land-areas, undermining accurate assessments of their risk. For the remaining areas, current ensembles are too small to characterize megadroughts' driving variability. For example, constraining uncertainty in near-term ASW megadrought risk to 5 percentage points with high confidence requires 287 simulations. Such ensemble sizes are beyond current computational and storage resources and these limitations suggest that constraining errors in near-term megadrought risk projections with high confidence-even in places where underlying variability is stationary-is not currently possible 
650 4 |a Journal Article 
700 1 |a Mankin, Justin S  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Geophysical research letters  |d 1984  |g Volume 43(2016), Iss 17 vom: 16. Sept., Seite 9225-9233  |w (DE-627)NLM098182501  |x 0094-8276  |7 nnns 
773 1 8 |g volume:Volume 43  |g year:2016  |g number:Iss 17  |g day:16  |g month:09  |g pages:9225-9233 
856 4 0 |u http://dx.doi.org/10.1002/2016gl070445  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d Volume 43  |j 2016  |e Iss 17  |b 16  |c 09  |h 9225-9233