9129767 5VS4ETHR items 1 0 date desc year Sengupta, A. 18 https://agsengupta.scrippsprofiles.ucsd.edu/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3A%22zotpress-70ebe8a88fc43dc0d5797c2e0e0c5b2c%22%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%2244NZUZ78%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hu%20et%20al.%22%2C%22parsedDate%22%3A%222023-03-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHu%2C%20W.%2C%20Ghazvinian%2C%20M.%2C%20Chapman%2C%20W.%20E.%2C%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Ralph%2C%20F.%20M.%2C%20%26amp%3B%20Delle%20Monache%2C%20L.%20%282023%29.%20Deep%20Learning%20Forecast%20Uncertainty%20for%20Precipitation%20over%20Western%20US.%20%3Ci%3EMonthly%20Weather%20Review%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FMWR-D-22-0268.1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FMWR-D-22-0268.1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Deep%20Learning%20Forecast%20Uncertainty%20for%20Precipitation%20over%20Western%20US%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Weiming%22%2C%22lastName%22%3A%22Hu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mohammadvaghef%22%2C%22lastName%22%3A%22Ghazvinian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%20E.%22%2C%22lastName%22%3A%22Chapman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fred%20Martin%22%2C%22lastName%22%3A%22Ralph%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luca%22%2C%22lastName%22%3A%22Delle%20Monache%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Reliably%20quantifying%20uncertainty%20in%20precipitation%20forecasts%20remains%20a%20critical%20challenge.%20This%20work%20examines%20the%20application%20of%20a%20Deep%20Learning%20%28DL%29%20architecture%2C%20Unet%2C%20for%20post-processing%20deterministic%20numerical%20weather%20predictions%20of%20precipitation%20to%20improve%20their%20skills%20and%20deriving%20forecast%20uncertainty.%20Daily%20accumulated%200-5-day%20precipitation%20forecasts%20are%20generated%20from%20a%2034-year%20reforecast%20based%20on%20the%20West%20Weather%20Research%20and%20Forecasting%20%28West-WRF%29%20mesoscale%20model%2C%20developed%20by%20the%20Center%20for%20Western%20Weather%20and%20Water%20Extremes.%20The%20Unet%20learns%20the%20distributional%20parameters%20associated%20with%20a%20censored%2C%20shifted%20Gamma%20distribution.%20In%20addition%2C%20the%20DL%20framework%20is%20tested%20against%20state-of-the-art%20benchmark%20methods%2C%20including%20an%20Analog%20Ensemble%2C%20non-homogeneous%20regression%2C%20and%20mixed-type%20meta-Gaussian%20distribution.%20These%20methods%20are%20evaluated%20over%20four%20years%20of%20data%20and%20the%20Western%20US.%20The%20Unet%20outperforms%20the%20benchmark%20methods%20at%20all%20lead%20times%20as%20measured%20by%20continuous%20ranked%20probability%20and%20Brier%20skill%20scores.%20The%20Unet%20also%20produces%20a%20reliable%20estimation%20of%20forecast%20uncertainty%2C%20as%20measured%20by%20binned%20spread-skill%20relationship%20diagrams.%20Additionally%2C%20the%20Unet%20has%20the%20best%20performance%20for%20extreme%20events%2C%20i.e.%2C%20the%2095-th%20and%2099-th%20percentiles%20of%20the%20distribution%2C%20and%20for%20these%20cases%2C%20its%20performance%20improves%20as%20more%20training%20data%20are%20available.%22%2C%22date%22%3A%222023-03-08%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1175%5C%2FMWR-D-22-0268.1%22%2C%22ISSN%22%3A%220027-0644%2C%201520-0493%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fview%5C%2Fjournals%5C%2Fmwre%5C%2Faop%5C%2FMWR-D-22-0268.1%5C%2FMWR-D-22-0268.1.xml%22%2C%22collections%22%3A%5B%223BVIFSK4%22%2C%22GS9TJSRH%22%2C%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222023-09-14T18%3A57%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22PZXKJB3P%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Raymond%20et%20al.%22%2C%22parsedDate%22%3A%222022-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERaymond%2C%20C.%2C%20Waliser%2C%20D.%2C%20Guan%2C%20B.%2C%20Lee%2C%20H.%2C%20Loikith%2C%20P.%2C%20Massoud%2C%20E.%2C%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Singh%2C%20D.%2C%20%26amp%3B%20Wootten%2C%20A.%20%282022%29.%20Regional%20and%20elevational%20patterns%20of%20extreme%20heat%20stress%20change%20in%20the%20US.%20%3Ci%3EEnvironmental%20Research%20Letters%3C%5C%2Fi%3E%2C%20%3Ci%3E17%3C%5C%2Fi%3E%286%29%2C%20064046.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1748-9326%5C%2Fac7343%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1748-9326%5C%2Fac7343%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Regional%20and%20elevational%20patterns%20of%20extreme%20heat%20stress%20change%20in%20the%20US%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Colin%22%2C%22lastName%22%3A%22Raymond%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duane%22%2C%22lastName%22%3A%22Waliser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bin%22%2C%22lastName%22%3A%22Guan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Huikyo%22%2C%22lastName%22%3A%22Lee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Loikith%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elias%22%2C%22lastName%22%3A%22Massoud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Deepti%22%2C%22lastName%22%3A%22Singh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adrienne%22%2C%22lastName%22%3A%22Wootten%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Increasing%20severity%20of%20extreme%20heat%20is%20a%20hallmark%20of%20climate%20change.%20Its%20impacts%20depend%20on%20temperature%20but%20also%20on%20moisture%20and%20solar%20radiation%2C%20each%20with%20distinct%20spatial%20patterns%20and%20vertical%20profiles.%20Here%2C%20we%20consider%20these%20variables%5Cu2019%20combined%20effect%20on%20extreme%20heat%20stress%2C%20as%20measured%20by%20the%20environmental%20stress%20index%2C%20using%20a%20suite%20of%20high-resolution%20climate%20simulations%20for%20historical%20%281980%5Cu20132005%29%20and%20future%20%282074%5Cu20132099%2C%20Representative%20Concentration%20Pathway%208.5%20%28RCP8.5%29%29%20periods.%20We%20find%20that%20observed%20extreme%20heat%20stress%20drops%20off%20nearly%20linearly%20with%20elevation%20above%20a%20coastal%20zone%2C%20at%20a%20rate%20that%20is%20larger%20in%20more%20humid%20regions.%20Future%20projections%20indicate%20dramatic%20relative%20increases%20whereby%20the%20historical%20top%201%25%20summer%20heat%20stress%20value%20may%20occur%20on%20about%2025%25%5Cu201350%25%20of%20future%20summer%20days%20under%20the%20RCP8.5%20scenario.%20Heat%20stress%20increases%20tend%20to%20be%20larger%20at%20higher%20latitudes%20and%20in%20areas%20of%20greater%20temperature%20increase%2C%20although%20in%20the%20southern%20and%20eastern%20US%20moisture%20increases%20are%20nearly%20as%20important.%20Imprinted%20on%20top%20of%20this%20dominant%20pattern%20we%20find%20secondary%20effects%20of%20smaller%20heat%20stress%20increases%20near%20ocean%20coastlines%2C%20notably%20along%20the%20Pacific%20coast%2C%20and%20larger%20increases%20in%20mountains%2C%20notably%20the%20Sierra%20Nevada%20and%20southern%20Appalachians.%20This%20differential%20warming%20is%20attributable%20to%20the%20greater%20warming%20of%20land%20relative%20to%20ocean%2C%20and%20to%20larger%20temperature%20increases%20at%20higher%20elevations%20outweighing%20larger%20water-vapor%20increases%20at%20lower%20elevations.%20All%20together%2C%20our%20results%20aid%20in%20furthering%20knowledge%20about%20drivers%20and%20characteristics%20that%20shape%20future%20extreme%20heat%20stress%20at%20scales%20difficult%20to%20capture%20in%20global%20assessments.%22%2C%22date%22%3A%222022-06%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1088%5C%2F1748-9326%5C%2Fac7343%22%2C%22ISSN%22%3A%221748-9326%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fiopscience.iop.org%5C%2Farticle%5C%2F10.1088%5C%2F1748-9326%5C%2Fac7343%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T23%3A53%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22A6WB3VYY%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sengupta%20et%20al.%22%2C%22parsedDate%22%3A%222022-05%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Waliser%2C%20D.%20E.%2C%20Massoud%2C%20E.%20C.%2C%20Guan%2C%20B.%2C%20Raymond%2C%20C.%2C%20%26amp%3B%20Lee%2C%20H.%20%282022%29.%20Representation%20of%20Atmospheric%20Water%20Budget%20and%20Uncertainty%20Quantification%20of%20Future%20Changes%20in%20CMIP6%20for%20the%20Seven%20U.S.%20National%20Climate%20Assessment%20Regions.%20%3Ci%3EJournal%20of%20Climate%3C%5C%2Fi%3E%2C%201%26%23x2013%3B46.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-22-0114.1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-22-0114.1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Representation%20of%20Atmospheric%20Water%20Budget%20and%20Uncertainty%20Quantification%20of%20Future%20Changes%20in%20CMIP6%20for%20the%20Seven%20U.S.%20National%20Climate%20Assessment%20Regions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duane%20E.%22%2C%22lastName%22%3A%22Waliser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elias%20C.%22%2C%22lastName%22%3A%22Massoud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bin%22%2C%22lastName%22%3A%22Guan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Colin%22%2C%22lastName%22%3A%22Raymond%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Huikyo%22%2C%22lastName%22%3A%22Lee%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Observation-based%20climate%20model%20evaluation%20and%20future%20projections%20help%20policymakers%20in%20developing%20action%20plans%20for%20efficient%20management%20of%20water%20resources%20and%20mitigation%20of%20the%20impacts%20of%20hazardous%20extremes.%20Apart%20from%20this%20socioeconomic%20importance%2C%20the%20scientific%20value%20cannot%20be%20overstated%2C%20especially%20in%20light%20of%20the%20upcoming%20Fifth%20U.S.%20National%20Climate%20Assessment%20%28NCA%29%20report.%20In%20this%20study%2C%20we%20evaluate%20the%20realism%20of%20hydroclimate%20variability%20in%20the%20historical%20simulations%20of%20a%20suite%20of%20coupled%20general%20circulation%20models%20%28CGCMs%29%20participating%20in%20the%20Sixth%20and%20Fifth%20phases%20of%20the%20Coupled%20Model%20Intercomparison%20Project%20%28CMIP6%20and%20CMIP5%29.%20Our%20results%20demonstrate%20systematic%20biases%20in%20the%20simulated%20seasonal%20precipitation%20%5Cu2013%20most%20prominently%2C%20wet%20bias%20over%20the%20mountainous%20West%20in%20winter%2C%20and%20dry%20bias%20over%20the%20Central%20Plains%20in%20summer.%20A%20distinctive%20feature%20of%20this%20work%20is%20our%20focus%20on%20the%20examination%20of%20the%20atmospheric%20water%20budget%2C%20in%20particular%2C%20the%20relative%20importance%20of%20remote%20and%20local%20contributions%20%5Cu2013%20convergence%20of%20moisture%20fluxes%20and%20local%20land%20surface%20processes%20%28evapotranspiration%29%20respectively%20%5Cu2013%20in%20helping%20produce%20precipitation.%20This%20diagnosis%20reveals%20that%20the%20leading%20contribution%20of%20the%20remote%20influence%20in%20winter%20is%20overestimated%20by%20the%20CMIP6%20multi-model%20mean%20%28MMM%29%2C%20whereas%20the%20local%20influence%20which%20is%20more%20influential%20in%20summer%20is%20underestimated.%20Our%20results%20aid%20in%20understanding%20the%20drivers%20of%20seasonal%20precipitation%20over%20the%20U.S.%2C%20where%20precipitation%20will%20likely%20increase%20by%20the%20end%20of%20the%20century%20but%20with%20significant%20model%20disagreement%20for%20the%20summer%20and%20fall.%20In%20support%20of%20ongoing%20NCA%20efforts%2C%20our%20study%20aims%20to%20contribute%20a%20comprehensive%2C%20regional-level%20analysis%20of%20the%20moisture%20budget%20and%20emphasizes%20the%20importance%20of%20realistically%20simulating%20its%20major%20components%20in%20CGCMs.%22%2C%22date%22%3A%222022-05%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1175%5C%2FJCLI-D-22-0114.1%22%2C%22ISSN%22%3A%220894-8755%2C%201520-0442%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fview%5C%2Fjournals%5C%2Fclim%5C%2Faop%5C%2FJCLI-D-22-0114.1%5C%2FJCLI-D-22-0114.1.xml%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T23%3A53%3A12Z%22%7D%7D%2C%7B%22key%22%3A%22VH968KDT%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sengupta%20et%20al.%22%2C%22parsedDate%22%3A%222022-04%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Singh%2C%20B.%2C%20DeFlorio%2C%20M.%2C%20Raymond%2C%20C.%2C%20Robertson%2C%20A.%20W.%2C%20Zeng%2C%20X.%2C%20Waliser%2C%20D.%20E.%2C%20%26amp%3B%20Jones%2C%20J.%20%282022%29.%20Advances%20in%20Sub-seasonal%20to%20Seasonal%20Prediction%20Relevant%20to%20Water%20Management%20in%20the%20Western%20United%20States.%20%3Ci%3EBulletin%20of%20the%20American%20Meteorological%20Society%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FBAMS-D-22-0146.1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FBAMS-D-22-0146.1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Advances%20in%20Sub-seasonal%20to%20Seasonal%20Prediction%20Relevant%20to%20Water%20Management%20in%20the%20Western%20United%20States%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bohar%22%2C%22lastName%22%3A%22Singh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mike%22%2C%22lastName%22%3A%22DeFlorio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Colin%22%2C%22lastName%22%3A%22Raymond%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%20W.%22%2C%22lastName%22%3A%22Robertson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xubin%22%2C%22lastName%22%3A%22Zeng%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duane%20E.%22%2C%22lastName%22%3A%22Waliser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jeanine%22%2C%22lastName%22%3A%22Jones%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222022-04%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1175%5C%2FBAMS-D-22-0146.1%22%2C%22ISSN%22%3A%220003-0007%2C%201520-0477%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fview%5C%2Fjournals%5C%2Fbams%5C%2Faop%5C%2FBAMS-D-22-0146.1%5C%2FBAMS-D-22-0146.1.xml%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T23%3A53%3A05Z%22%7D%7D%2C%7B%22key%22%3A%223UVF463G%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Nigam%20and%20Sengupta%22%2C%22parsedDate%22%3A%222021-02-16%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ENigam%2C%20S.%2C%20%26amp%3B%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%20%282021%29.%20The%20Full%20Extent%20of%20El%20Ni%26%23xF1%3Bo%26%23x2019%3Bs%20Precipitation%20Influence%20on%20the%20United%20States%20and%20the%20Americas%3A%20The%20Suboptimality%20of%20the%20Ni%26%23xF1%3Bo%203.4%20SST%20Index.%20%3Ci%3EGeophysical%20Research%20Letters%3C%5C%2Fi%3E%2C%20%3Ci%3E48%3C%5C%2Fi%3E%283%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1029%5C%2F2020GL091447%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1029%5C%2F2020GL091447%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Full%20Extent%20of%20El%20Ni%5Cu00f1o%27s%20Precipitation%20Influence%20on%20the%20United%20States%20and%20the%20Americas%3A%20The%20Suboptimality%20of%20the%20Ni%5Cu00f1o%203.4%20SST%20Index%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sumant%22%2C%22lastName%22%3A%22Nigam%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222021-02-16%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1029%5C%2F2020GL091447%22%2C%22ISSN%22%3A%220094-8276%2C%201944-8007%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1029%5C%2F2020GL091447%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A00%3A27Z%22%7D%7D%2C%7B%22key%22%3A%229HUNJW5G%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Nigam%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ENigam%2C%20S.%2C%20Ruiz-Barradas%2C%20A.%2C%20%26amp%3B%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%20%282021%29.%20The%20Chennai%20water%20crisis%3A%20Insufficient%20rainwater%20or%20suboptimal%20harnessing%20of%20runoff%3F%20%3Ci%3ECurrent%20Science%3C%5C%2Fi%3E%2C%20%3Ci%3E120%3C%5C%2Fi%3E%281%29%2C%2043%26%23x2013%3B55.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww2.atmos.umd.edu%5C%2F~nigam%5C%2FThe.Chennai.Water.Crisis.Current.Science.10January2021.pdf%27%3Ehttps%3A%5C%2F%5C%2Fwww2.atmos.umd.edu%5C%2F~nigam%5C%2FThe.Chennai.Water.Crisis.Current.Science.10January2021.pdf%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Chennai%20water%20crisis%3A%20Insufficient%20rainwater%20or%20suboptimal%20harnessing%20of%20runoff%3F%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Nigam%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Ruiz-Barradas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww2.atmos.umd.edu%5C%2F~nigam%5C%2FThe.Chennai.Water.Crisis.Current.Science.10January2021.pdf%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A29%3A09Z%22%7D%7D%2C%7B%22key%22%3A%22DYBS7355%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wootten%20et%20al.%22%2C%22parsedDate%22%3A%222020-11-25%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EWootten%2C%20A.%2C%20Massoud%2C%20E.%2C%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Waliser%2C%20D.%2C%20%26amp%3B%20Lee%2C%20H.%20%282020%29.%20The%20Effect%20of%20Statistical%20Downscaling%20on%20the%20Weighting%20of%20Multi-Model%20Ensembles%20of%20Precipitation.%20%3Ci%3EClimate%3C%5C%2Fi%3E%2C%20%3Ci%3E8%3C%5C%2Fi%3E%2812%29%2C%20138.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fcli8120138%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fcli8120138%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Effect%20of%20Statistical%20Downscaling%20on%20the%20Weighting%20of%20Multi-Model%20Ensembles%20of%20Precipitation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adrienne%22%2C%22lastName%22%3A%22Wootten%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elias%22%2C%22lastName%22%3A%22Massoud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duane%22%2C%22lastName%22%3A%22Waliser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Huikyo%22%2C%22lastName%22%3A%22Lee%22%7D%5D%2C%22abstractNote%22%3A%22Recently%2C%20assessments%20of%20global%20climate%20model%20%28GCM%29%20ensembles%20have%20transitioned%20from%20using%20unweighted%20means%20to%20weighted%20means%20designed%20to%20account%20for%20skill%20and%20interdependence%20among%20models.%20Although%20ensemble-weighting%20schemes%20are%20typically%20derived%20using%20a%20GCM%20ensemble%2C%20statistically%20downscaled%20projections%20are%20used%20in%20climate%20change%20assessments.%20This%20study%20applies%20four%20ensemble-weighting%20schemes%20for%20model%20averaging%20to%20precipitation%20projections%20in%20the%20south-central%20United%20States.%20The%20weighting%20schemes%20are%20applied%20to%20%281%29%20a%2026-member%20GCM%20ensemble%20and%20%282%29%20those%2026%20members%20downscaled%20using%20Localized%20Canonical%20Analogs%20%28LOCA%29.%20This%20study%20is%20distinct%20from%20prior%20research%20because%20it%20compares%20the%20interactions%20of%20ensemble-weighting%20schemes%20with%20GCMs%20and%20statistical%20downscaling%20to%20produce%20summarized%20climate%20projection%20products.%20The%20analysis%20indicates%20that%20statistical%20downscaling%20improves%20the%20ensemble%20accuracy%20%28LOCA%20average%20root%20mean%20square%20error%20is%20100%20mm%20less%20than%20the%20CMIP5%20average%20root%20mean%20square%20error%29%20and%20reduces%20the%20uncertainty%20of%20the%20projected%20ensemble-mean%20change.%20Furthermore%2C%20averaging%20the%20LOCA%20ensemble%20using%20Bayesian%20Model%20Averaging%20reduces%20the%20uncertainty%20beyond%20any%20other%20combination%20of%20weighting%20schemes%20and%20ensemble%20%28standard%20deviation%20of%20the%20mean%20projected%20change%20in%20the%20domain%20is%20reduced%20by%2040%5Cu201350%20mm%29.%20The%20results%20also%20indicate%20that%20it%20is%20inappropriate%20to%20assume%20that%20a%20weighting%20scheme%20derived%20from%20a%20GCM%20ensemble%20matches%20the%20same%20weights%20derived%20using%20a%20downscaled%20ensemble.%22%2C%22date%22%3A%222020-11-25%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fcli8120138%22%2C%22ISSN%22%3A%222225-1154%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2225-1154%5C%2F8%5C%2F12%5C%2F138%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A01%3A01Z%22%7D%7D%2C%7B%22key%22%3A%225TX6IJ54%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Massoud%20et%20al.%22%2C%22parsedDate%22%3A%222020-10-14%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMassoud%2C%20E.%2C%20Massoud%2C%20T.%2C%20Guan%2C%20B.%2C%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20Espinoza%2C%20V.%2C%20De%20Luna%2C%20M.%2C%20Raymond%2C%20C.%2C%20%26amp%3B%20Waliser%2C%20D.%20%282020%29.%20Atmospheric%20Rivers%20and%20Precipitation%20in%20the%20Middle%20East%20and%20North%20Africa%20%28MENA%29.%20%3Ci%3EWater%3C%5C%2Fi%3E%2C%20%3Ci%3E12%3C%5C%2Fi%3E%2810%29%2C%202863.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fw12102863%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fw12102863%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Atmospheric%20Rivers%20and%20Precipitation%20in%20the%20Middle%20East%20and%20North%20Africa%20%28MENA%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elias%22%2C%22lastName%22%3A%22Massoud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Theresa%22%2C%22lastName%22%3A%22Massoud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bin%22%2C%22lastName%22%3A%22Guan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vicky%22%2C%22lastName%22%3A%22Espinoza%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michelle%22%2C%22lastName%22%3A%22De%20Luna%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Colin%22%2C%22lastName%22%3A%22Raymond%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duane%22%2C%22lastName%22%3A%22Waliser%22%7D%5D%2C%22abstractNote%22%3A%22This%20study%20investigates%20the%20historical%20climatology%20and%20future%20projected%20change%20of%20atmospheric%20rivers%20%28ARs%29%20and%20precipitation%20for%20the%20Middle%20East%20and%20North%20Africa%20%28MENA%29%20region.%20We%20use%20a%20suite%20of%20models%20from%20the%20Coupled%20Model%20Intercomparison%20Project%20Phase%205%20%28CMIP5%2C%20historical%20and%20RCP8.5%20scenarios%29%20and%20other%20observations%20to%20estimate%20AR%20frequency%20and%20mean%20daily%20precipitation.%20Despite%20its%20arid-to-semi-arid%20climate%2C%20parts%20of%20the%20MENA%20region%20experience%20strong%20ARs%2C%20which%20contribute%20a%20large%20fraction%20of%20the%20annual%20precipitation%2C%20such%20as%20in%20the%20mountainous%20areas%20of%20Turkey%20and%20Iran.%20This%20study%20shows%20that%20by%20the%20end%20of%20this%20century%2C%20AR%20frequency%20is%20projected%20to%20increase%20%28~20%5Cu201340%25%29%20for%20the%20North%20Africa%20and%20Mediterranean%20areas%20%28including%20any%20region%20with%20higher%20latitudes%20than%2035%20N%29.%20However%2C%20for%20these%20regions%2C%20mean%20daily%20precipitation%20%28i.e.%2C%20regardless%20of%20the%20presence%20of%20ARs%29%20is%20projected%20to%20decrease%20%28~15%5Cu201330%25%29.%20For%20the%20rest%20of%20the%20MENA%20region%2C%20including%20the%20Arabian%20Peninsula%20and%20the%20Horn%20of%20Africa%2C%20minor%20changes%20in%20AR%20frequency%20%28%5Cu00b110%25%29%20are%20expected%2C%20yet%20mean%20precipitation%20is%20projected%20to%20increase%20%28~50%25%29%20for%20these%20regions.%20Overall%2C%20the%20projected%20sign%20of%20change%20in%20AR%20frequency%20is%20opposite%20to%20the%20projected%20sign%20of%20change%20in%20mean%20daily%20precipitation%20for%20most%20areas%20within%20the%20MENA%20region.%22%2C%22date%22%3A%222020-10-14%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fw12102863%22%2C%22ISSN%22%3A%222073-4441%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2073-4441%5C%2F12%5C%2F10%5C%2F2863%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A01%3A09Z%22%7D%7D%2C%7B%22key%22%3A%225KYCJI9T%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Nigam%20et%20al.%22%2C%22parsedDate%22%3A%222020-07-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ENigam%2C%20S.%2C%20%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20%26amp%3B%20Ruiz-Barradas%2C%20A.%20%282020%29.%20Atlantic%26%23x2013%3BPacific%20Links%20in%20Observed%20Multidecadal%20SST%20Variability%3A%20Is%20the%20Atlantic%20Multidecadal%20Oscillation%26%23x2019%3Bs%20Phase%20Reversal%20Orchestrated%20by%20the%20Pacific%20Decadal%20Oscillation%3F%20%3Ci%3EJournal%20of%20Climate%3C%5C%2Fi%3E%2C%20%3Ci%3E33%3C%5C%2Fi%3E%2813%29%2C%205479%26%23x2013%3B5505.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-19-0880.1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-19-0880.1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Atlantic%5Cu2013Pacific%20Links%20in%20Observed%20Multidecadal%20SST%20Variability%3A%20Is%20the%20Atlantic%20Multidecadal%20Oscillation%5Cu2019s%20Phase%20Reversal%20Orchestrated%20by%20the%20Pacific%20Decadal%20Oscillation%3F%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sumant%22%2C%22lastName%22%3A%22Nigam%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alfredo%22%2C%22lastName%22%3A%22Ruiz-Barradas%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20The%20Atlantic%20and%20Pacific%20basin%20are%20found%20linked%20in%20the%20context%20of%20multidecadal%20SST%20variability%20from%20analyses%20of%20118%20years%20of%20observational%20data.%20Recurrent%20spatiotemporal%20variability%2C%20including%20multidecadal%20modes%2C%20was%20identified%20using%20the%20extended-EOF%20technique%20in%20a%20longitudinally%20global%20domain%2C%20allowing%20unfettered%20expression%20of%20interbasin%20interactions.%20The%20physicality%20of%20the%20obtained%20decadal%20modes%20was%20assessed%20using%20fishery%20records%20and%20analog%20counts.%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20A%20three-mode%20structure%20with%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20bi%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20-directional%20interbasin%20links%20frames%20the%20new%20perspective%20on%20the%20cycling%20of%20multidecadal%20SST%20variability.%20The%20three%20modes%20are%20the%20Atlantic%20multidecadal%20oscillation%20%28AMO%29%2C%20low-frequency%20North%20Atlantic%20Oscillation%20%28LF-NAO%29%2C%20and%20North%20Pacific%20decadal%20variability%20%5BPDV-NP%3B%20resembling%20negative%20%28%5Cu2013ve%29%20PDO%5D.%20The%20two%20previously%20documented%20links%20AMO%5Cu2192PDV-NP%20%28with%20~12.5-yr%20lead%29%20and%20LF-NAO%5Cu2192AMO%20%28with%2016-yr%20lead%29%20are%20corroborated%2C%20while%20a%20third%20one%2C%20PDV-NP%5Cu2192%28%5Cu2212LF-NAO%29%20with%20~6.5-yr%20lead%2C%20is%20uncovered.%20The%20interaction%20triad%20closes%20the%20loop%20on%20the%20cycling%20of%20multidecadal%20SST%20variability%2C%20generating%20AMO%5Cu2019s%20phase%20reversal%20in%20~35%20years%2C%20consistent%20with%20its%20widely%20noted%20~70-yr%20time%20scale.%20The%20two%20previously%20noted%20links%5Cu2014one%20intrabasin%20and%20one%20interbasin%5Cu2014were%20unsuccessful%20in%20this%20regard.%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Other%20findings%20include%20the%20deeper%20subsurface%20extensions%20of%20Atlantic%20multidecadal%20SST%20variability%2C%20and%20the%20hitherto%20unrecognized%20similarity%20of%20Pan-Pacific%20decadal%20variability%20and%20North%20Pacific%20Gyre%20Oscillation.%20Instrumental%20records%2C%20albeit%20short%20in%20the%20context%20of%20multidecadal%20variability%2C%20must%20continue%20to%20be%20mined%20for%20insights%20into%20the%20functioning%20of%20the%20climate%20system%20as%20its%20model%20representations%20while%20improving%2C%20remain%20inadequate.%22%2C%22date%22%3A%222020-07-01%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1175%5C%2FJCLI-D-19-0880.1%22%2C%22ISSN%22%3A%220894-8755%2C%201520-0442%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJCLI-D-19-0880.1%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A00%3A51Z%22%7D%7D%2C%7B%22key%22%3A%226XFSNLZE%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sengupta%20and%20Nigam%22%2C%22parsedDate%22%3A%222019-01-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20%26amp%3B%20Nigam%2C%20S.%20%282019%29.%20The%20Northeast%20Winter%20Monsoon%20over%20the%20Indian%20Subcontinent%20and%20Southeast%20Asia%3A%20Evolution%2C%20Interannual%20Variability%2C%20and%20Model%20Simulations.%20%3Ci%3EJournal%20of%20Climate%3C%5C%2Fi%3E%2C%20%3Ci%3E32%3C%5C%2Fi%3E%281%29%2C%20231%26%23x2013%3B249.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-18-0034.1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FJCLI-D-18-0034.1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Northeast%20Winter%20Monsoon%20over%20the%20Indian%20Subcontinent%20and%20Southeast%20Asia%3A%20Evolution%2C%20Interannual%20Variability%2C%20and%20Model%20Simulations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sumant%22%2C%22lastName%22%3A%22Nigam%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20The%20northeast%20monsoon%20%28NEM%29%20brings%20the%20bulk%20of%20annual%20rainfall%20to%20southeastern%20peninsular%20India%2C%20Sri%20Lanka%2C%20and%20the%20neighboring%20Southeast%20Asian%20countries.%20This%20October%5Cu2013December%20monsoon%20is%20referred%20to%20as%20the%20winter%20monsoon%20in%20this%20region.%20In%20contrast%2C%20the%20southwest%20summer%20monsoon%20brings%20bountiful%20rainfall%20to%20the%20Indo-Gangetic%20Plain.%20The%20winter%20monsoon%20region%20is%20objectively%20demarcated%20from%20analysis%20of%20the%20timing%20of%20peak%20monthly%20rainfall.%20Because%20of%20the%20region%5Cu2019s%20complex%20terrain%2C%20in%20situ%20precipitation%20datasets%20are%20assessed%20using%20high-spatiotemporal-resolution%20Tropical%20Rainfall%20Measuring%20Mission%20%28TRMM%29%20rainfall%20estimates%2C%20prior%20to%20their%20use%20in%20monsoon%20evolution%2C%20variability%2C%20and%20trend%20analyses.%20The%20Global%20Precipitation%20Climatology%20Center%5Cu2019s%20in%20situ%20analysis%20showed%20the%20least%20bias%20from%20TRMM.%5Cn%20%20%20%20%20%20%20%20%20%20%20%20El%20Ni%5Cu00f1o%5Cu2013Southern%20Oscillation%5Cu2019s%20%28ENSO%29%20impact%20on%20NEM%20rainfall%20is%20shown%20to%20be%20significant%2C%20leading%20to%20stronger%20NEM%20rainfall%20over%20southeastern%20peninsular%20India%20and%20Sri%20Lanka%20but%20diminished%20rainfall%20over%20Thailand%2C%20Vietnam%2C%20and%20the%20Philippines.%20The%20impact%20varies%20subseasonally%2C%20being%20weak%20in%20October%20and%20strong%20in%20November.%20The%20positive%20anomalies%20over%20peninsular%20India%20are%20generated%20by%20anomalous%20anticyclonic%20flow%20centered%20over%20the%20Bay%20of%20Bengal%2C%20which%20is%20forced%20by%20an%20El%20Ni%5Cu00f1o%5Cu2013related%20reduction%20in%20deep%20convection%20over%20the%20Maritime%20Continent.%5Cn%20%20%20%20%20%20%20%20%20%20%20%20The%20historical%20twentieth-century%20climate%20simulations%20informing%20the%20Intergovernmental%20Panel%20on%20Climate%20Change%5Cu2019s%20Fifth%20Assessment%20%28IPCC-AR5%29%20show%20varied%20deficiencies%20in%20the%20NEM%20rainfall%20distribution%20and%20a%20markedly%20weaker%20%28and%20often%20unrealistic%29%20ENSO%5Cu2013NEM%20rainfall%20relationship.%22%2C%22date%22%3A%222019-01-01%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1175%5C%2FJCLI-D-18-0034.1%22%2C%22ISSN%22%3A%220894-8755%2C%201520-0442%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJCLI-D-18-0034.1%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A01%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22I4CC224M%22%2C%22library%22%3A%7B%22id%22%3A9129767%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sengupta%20and%20Rajeevan%22%2C%22parsedDate%22%3A%222013%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Cstrong%3ESengupta%2C%20A.%3C%5C%2Fstrong%3E%2C%20%26amp%3B%20Rajeevan%2C%20M.%20%282013%29.%20Uncertainty%20quantification%20and%20reliability%20analysis%20of%20CMIP5%20projections%20for%20the%20Indian%20summer%20monsoon.%20%3Ci%3ECurrent%20Science%3C%5C%2Fi%3E%2C%20%3Ci%3E105%3C%5C%2Fi%3E%2812%29%2C%201692%26%23x2013%3B1703.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.currentscience.ac.in%5C%2FVolumes%5C%2F105%5C%2F12%5C%2F1692.pdf%27%3Ehttps%3A%5C%2F%5C%2Fwww.currentscience.ac.in%5C%2FVolumes%5C%2F105%5C%2F12%5C%2F1692.pdf%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Uncertainty%20quantification%20and%20reliability%20analysis%20of%20CMIP5%20projections%20for%20the%20Indian%20summer%20monsoon%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Agniv%22%2C%22lastName%22%3A%22Sengupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Rajeevan%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222013%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.currentscience.ac.in%5C%2FVolumes%5C%2F105%5C%2F12%5C%2F1692.pdf%22%2C%22collections%22%3A%5B%225VS4ETHR%22%5D%2C%22dateModified%22%3A%222022-07-27T20%3A44%3A51Z%22%7D%7D%5D%7D
Hu, W., Ghazvinian, M., Chapman, W. E., Sengupta, A., Ralph, F. M., & Delle Monache, L. (2023). Deep Learning Forecast Uncertainty for Precipitation over Western US. Monthly Weather Review. https://doi.org/10.1175/MWR-D-22-0268.1
Raymond, C., Waliser, D., Guan, B., Lee, H., Loikith, P., Massoud, E., Sengupta, A., Singh, D., & Wootten, A. (2022). Regional and elevational patterns of extreme heat stress change in the US. Environmental Research Letters, 17(6), 064046. https://doi.org/10.1088/1748-9326/ac7343
Sengupta, A., Waliser, D. E., Massoud, E. C., Guan, B., Raymond, C., & Lee, H. (2022). Representation of Atmospheric Water Budget and Uncertainty Quantification of Future Changes in CMIP6 for the Seven U.S. National Climate Assessment Regions. Journal of Climate, 1–46. https://doi.org/10.1175/JCLI-D-22-0114.1
Sengupta, A., Singh, B., DeFlorio, M., Raymond, C., Robertson, A. W., Zeng, X., Waliser, D. E., & Jones, J. (2022). Advances in Sub-seasonal to Seasonal Prediction Relevant to Water Management in the Western United States. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-22-0146.1
Nigam, S., & Sengupta, A. (2021). The Full Extent of El Niño’s Precipitation Influence on the United States and the Americas: The Suboptimality of the Niño 3.4 SST Index. Geophysical Research Letters, 48(3). https://doi.org/10.1029/2020GL091447
Nigam, S., Ruiz-Barradas, A., & Sengupta, A. (2021). The Chennai water crisis: Insufficient rainwater or suboptimal harnessing of runoff? Current Science, 120(1), 43–55. https://www2.atmos.umd.edu/~nigam/The.Chennai.Water.Crisis.Current.Science.10January2021.pdf
Wootten, A., Massoud, E., Sengupta, A., Waliser, D., & Lee, H. (2020). The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation. Climate, 8(12), 138. https://doi.org/10.3390/cli8120138
Massoud, E., Massoud, T., Guan, B., Sengupta, A., Espinoza, V., De Luna, M., Raymond, C., & Waliser, D. (2020). Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA). Water, 12(10), 2863. https://doi.org/10.3390/w12102863
Nigam, S., Sengupta, A., & Ruiz-Barradas, A. (2020). Atlantic–Pacific Links in Observed Multidecadal SST Variability: Is the Atlantic Multidecadal Oscillation’s Phase Reversal Orchestrated by the Pacific Decadal Oscillation? Journal of Climate, 33(13), 5479–5505. https://doi.org/10.1175/JCLI-D-19-0880.1
Sengupta, A., & Nigam, S. (2019). The Northeast Winter Monsoon over the Indian Subcontinent and Southeast Asia: Evolution, Interannual Variability, and Model Simulations. Journal of Climate, 32(1), 231–249. https://doi.org/10.1175/JCLI-D-18-0034.1
Sengupta, A., & Rajeevan, M. (2013). Uncertainty quantification and reliability analysis of CMIP5 projections for the Indian summer monsoon. Current Science, 105(12), 1692–1703. https://www.currentscience.ac.in/Volumes/105/12/1692.pdf