Show simple item record

dc.contributor.authorBaker, IT
dc.contributor.authorDenning, AS
dc.contributor.authorDazlich, DA
dc.contributor.authorHarper, AB
dc.contributor.authorBranson, MD
dc.contributor.authorRandall, DA
dc.contributor.authorPhillips, MC
dc.contributor.authorHaynes, KD
dc.contributor.authorGallup, SM
dc.date.accessioned2019-12-05T13:40:40Z
dc.date.issued2019-07-23
dc.description.abstractTropical South America plays a central role in global climate. Bowen ratio teleconnects to circulation and precipitation processes far afield, and the global CO2 growth rate is strongly influenced by carbon cycle processes in South America. However, quantification of basin-wide seasonality of flux partitioning between latent and sensible heat, the response to anomalies around climatic norms, and understanding of the processes and mechanisms that control the carbon cycle remains elusive. Here, we investigate simulated surface-atmosphere interaction at a single site in Brazil, using models with different representations of precipitation and cloud processes, as well as differences in scale of coupling between the surface and atmosphere. We find that the model with parameterized clouds/precipitation has a tendency toward unrealistic perpetual light precipitation, while models with explicit treatment of clouds produce more intense and less frequent rain. Models that couple the surface to the atmosphere on the scale of kilometers, as opposed to tens or hundreds of kilometers, produce even more realistic distributions of rainfall. Rainfall intensity has direct consequences for the “fate of water,” or the pathway that a hydrometeor follows once it interacts with the surface. We find that the model with explicit treatment of cloud processes, coupled to the surface at small scales, is the most realistic when compared to observations. These results have implications for simulations of global climate, as the use of models with explicit (as opposed to parameterized) cloud representations becomes more widespread.en_GB
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA)en_GB
dc.description.sponsorshipNational Science Foundation (NSF)en_GB
dc.description.sponsorshipNational Science Foundation (NSF)en_GB
dc.description.sponsorshipU.S. Department of Energy (DOE)en_GB
dc.identifier.citationVol. 11, pp. 2523 - 2546en_GB
dc.identifier.doi10.1029/2019MS001650
dc.identifier.grantnumberNNX14AI52Gen_GB
dc.identifier.grantnumberAGS-1049041en_GB
dc.identifier.grantnumberATM-0425247en_GB
dc.identifier.grantnumberDE-SC0014438en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39979
dc.language.isoenen_GB
dc.publisherAmerican Geophysical Union (AGU)en_GB
dc.rights©2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.en_GB
dc.subjectland‐atmosphere interactionen_GB
dc.subjectmultiscale modelingen_GB
dc.subjectcarbon cycleen_GB
dc.subjecttropical ecophysiologyen_GB
dc.titleSurface-Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Foresten_GB
dc.typeArticleen_GB
dc.date.available2019-12-05T13:40:40Z
dc.descriptionThis is the final verison. Available from American Geophysical Union (AGU) via the DOI in this record.en_GB
dc.descriptionThe K83 observational data are available from AmeriFlux (ameriflux.lbl.gov), NCEP Reanalysis data provided by NOAA/ESRL/PSD, Boulder, Colorado, USA, from the http://www.cdc.noaa.gov/ website. Model code and output is stored at GitLab (gitlab.com). This project is password protected, and the password can be obtained from the corresponding author at ian.baker@colostate.edu upon request.en_GB
dc.identifier.journalJournal of Advances in Modeling Earth Systemsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2019-07-16
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-07-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-12-05T13:33:27Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-05T13:40:45Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


Files in this item

This item appears in the following Collection(s)

Show simple item record

©2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Except where otherwise noted, this item's licence is described as ©2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.