Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites
Journal: Agricultural And Forest Meteorology, Volume 301-302: 108350 (2021), ISBN . DOI: 10.1016/j.agrformet.2021.108350 Sites: CA-ARB, CA-ARF, CA-Ca1, CA-Ca2, CA-Ca3, CA-Cbo, CA-DBB, CA-ER1, CA-Gro, CA-Let, CA-Man, CA-MR3, CA-MR5, CA-Na1, CA-NS1, CA-NS2, CA-NS3, CA-NS4, CA-NS5, CA-NS6, CA-NS7, CA-Oas, CA-Obs, CA-Ojp, CA-Qc2, CA-Qcu, CA-Qfo, CA-SCC, CA-SF1, CA-SF2, CA-SF3, CA-SJ2, CA-SJ3, CA-TP1, CA-TP3, CA-TP4, CA-TPD, CA-WP1, US-A03, US-A10, US-A32, US-A74, US-ADR, US-AR1, US-AR2, US-ARb, US-ARc, US-ARM, US-Aud, US-Bar, US-Bi1, US-Bi2, US-Bkg, US-Blk, US-Blo, US-Bn1, US-Bn2, US-Bn3, US-Bo1, US-Bo2, US-Br3, US-CaV, US-Ced, US-CF1, US-CF2, US-CF3, US-CF4, US-ChR, US-Cop, US-CPk, US-CRT, US-Ctn, US-Dia, US-Dix, US-Dk1, US-Dk2, US-Dk3, US-EDN, US-Elm, US-EML, US-Fmf, US-FPe, US-FR2, US-FR3, US-Fuf, US-Fwf, US-GLE, US-GMF, US-Goo, US-Ha1, US-Ha2, US-Hn2, US-Hn3, US-Ho1, US-Ho2, US-Ho3, US-IB1, US-IB2, US-Ivo, US-KFS, US-KLS, US-Kon, US-KS1, US-KS2, US-KUT, US-Lin, US-Los, US-LPH, US-LWW, US-Me1, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6, US-MMS, US-MOz, US-Mpj, US-MRf, US-MtB, US-Myb, US-NC1, US-NC2, US-NC3, US-NC4, US-Ne1, US-Ne2, US-Ne3, US-NGB, US-NR1, US-Oho, US-ORv, US-PHM, US-Pon, US-Prr, US-RC1, US-RC2, US-RC3, US-RC4, US-RC5, US-Rls, US-Rms, US-Ro1, US-Ro2, US-Ro5, US-Ro6, US-Rpf, US-Rws, US-SdH, US-Seg, US-Ses, US-SFP, US-Shd, US-Skr, US-Slt, US-Snd, US-Sne, US-Snf, US-SO2, US-SO3, US-SO4, US-SP1, US-SP2, US-SP3, US-SRC, US-SRG, US-SRM, US-Srr, US-Sta, US-StJ, US-Syv, US-Ton, US-Tw1, US-Tw2, US-Tw3, US-Tw4, US-Tw5, US-Twt, US-Uaf, US-UMB, US-UMd, US-Var, US-Vcm, US-Vcp, US-Vcs, US-WBW, US-WCr, US-Wdn, US-Wgr, US-Whs, US-Wi0, US-Wi1, US-Wi3, US-Wi4, US-Wi5, US-Wi6, US-Wi7, US-Wi8, US-Wi9, US-Wjs, US-Wkg, US-Wlr, US-Wpp, US-WPT, US-Wrc, US-xBR, US-xCP, US-xDL, US-xHA, US-xKA, US-xKZ, US-xRM, US-xSR, US-xWD
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with the eddy-covariance technique (e.g., FLUXNET2015, AmeriFlux BASE) are widely used to benchmark models and remote-sensing products. This study addresses one of the major challenges facing model-data integration: To what spatial extent do flux measurements …
Journal: Agricultural And Forest Meteorology, Volume 301-302: 108350 (2021), ISBN . DOI: 10.1016/j.agrformet.2021.108350 Sites: CA-ARB, CA-ARF, CA-Ca1, CA-Ca2, CA-Ca3, CA-Cbo, CA-DBB, CA-ER1, CA-Gro, CA-Let, CA-Man, CA-MR3, CA-MR5, CA-Na1, CA-NS1, CA-NS2, CA-NS3, CA-NS4, CA-NS5, CA-NS6, CA-NS7, CA-Oas, CA-Obs, CA-Ojp, CA-Qc2, CA-Qcu, CA-Qfo, CA-SCC, CA-SF1, CA-SF2, CA-SF3, CA-SJ2, CA-SJ3, CA-TP1, CA-TP3, CA-TP4, CA-TPD, CA-WP1, US-A03, US-A10, US-A32, US-A74, US-ADR, US-AR1, US-AR2, US-ARb, US-ARc, US-ARM, US-Aud, US-Bar, US-Bi1, US-Bi2, US-Bkg, US-Blk, US-Blo, US-Bn1, US-Bn2, US-Bn3, US-Bo1, US-Bo2, US-Br3, US-CaV, US-Ced, US-CF1, US-CF2, US-CF3, US-CF4, US-ChR, US-Cop, US-CPk, US-CRT, US-Ctn, US-Dia, US-Dix, US-Dk1, US-Dk2, US-Dk3, US-EDN, US-Elm, US-EML, US-Fmf, US-FPe, US-FR2, US-FR3, US-Fuf, US-Fwf, US-GLE, US-GMF, US-Goo, US-Ha1, US-Ha2, US-Hn2, US-Hn3, US-Ho1, US-Ho2, US-Ho3, US-IB1, US-IB2, US-Ivo, US-KFS, US-KLS, US-Kon, US-KS1, US-KS2, US-KUT, US-Lin, US-Los, US-LPH, US-LWW, US-Me1, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6, US-MMS, US-MOz, US-Mpj, US-MRf, US-MtB, US-Myb, US-NC1, US-NC2, US-NC3, US-NC4, US-Ne1, US-Ne2, US-Ne3, US-NGB, US-NR1, US-Oho, US-ORv, US-PHM, US-Pon, US-Prr, US-RC1, US-RC2, US-RC3, US-RC4, US-RC5, US-Rls, US-Rms, US-Ro1, US-Ro2, US-Ro5, US-Ro6, US-Rpf, US-Rws, US-SdH, US-Seg, US-Ses, US-SFP, US-Shd, US-Skr, US-Slt, US-Snd, US-Sne, US-Snf, US-SO2, US-SO3, US-SO4, US-SP1, US-SP2, US-SP3, US-SRC, US-SRG, US-SRM, US-Srr, US-Sta, US-StJ, US-Syv, US-Ton, US-Tw1, US-Tw2, US-Tw3, US-Tw4, US-Tw5, US-Twt, US-Uaf, US-UMB, US-UMd, US-Var, US-Vcm, US-Vcp, US-Vcs, US-WBW, US-WCr, US-Wdn, US-Wgr, US-Whs, US-Wi0, US-Wi1, US-Wi3, US-Wi4, US-Wi5, US-Wi6, US-Wi7, US-Wi8, US-Wi9, US-Wjs, US-Wkg, US-Wlr, US-Wpp, US-WPT, US-Wrc, US-xBR, US-xCP, US-xDL, US-xHA, US-xKA, US-xKZ, US-xRM, US-xSR, US-xWD
Long-Term (1986–2015) Crop Water Use Characterization Over The Upper Rio Grande Basin Of United States And Mexico Using Landsat-Based Evapotranspiration
Journal: Remote Sensing, Volume 11 (13): 1587 (2019), ISBN . DOI: doi:10.3390/rs11131587 Sites: US-Mpj, US-Seg, US-Ses, US-Vcm, US-Vcp, US-Wjs
Journal: Remote Sensing, Volume 11 (13): 1587 (2019), ISBN . DOI: doi:10.3390/rs11131587 Sites: US-Mpj, US-Seg, US-Ses, US-Vcm, US-Vcp, US-Wjs
Integrating Species‐Specific Information In Models Improves Regional Projections Under Climate Change
Journal: Geophysical Research Letters, Volume 46 (12): 6554-6562 (2019), ISBN . DOI: 10.1029/2019GL082762 Sites: US-Mpj, US-Vcm, US-Vcp, US-Vcs
Journal: Geophysical Research Letters, Volume 46 (12): 6554-6562 (2019), ISBN . DOI: 10.1029/2019GL082762 Sites: US-Mpj, US-Vcm, US-Vcp, US-Vcs
Evaluation Of A Data Assimilation System For Land Surface Models Using Clm4.5
Journal: Journal Of Advances In Modeling Earth Systems, Volume 10 (10): 2471-2494 (2018), ISBN . DOI: 10.1029/2018MS001362 Sites: US-Mpj
Journal: Journal Of Advances In Modeling Earth Systems, Volume 10 (10): 2471-2494 (2018), ISBN . DOI: 10.1029/2018MS001362 Sites: US-Mpj
Biocrust Contribution To Ecosystem Carbon Fluxes Varies Along An Elevational Gradient
Journal: Ecosphere, Volume 9 (6): e02315 (2018), ISBN . DOI: 10.1002/ecs2.2315 Sites: US-Mpj, US-Seg, US-Ses, US-Wjs
Journal: Ecosphere, Volume 9 (6): e02315 (2018), ISBN . DOI: 10.1002/ecs2.2315 Sites: US-Mpj, US-Seg, US-Ses, US-Wjs
Chlorophyll Fluorescence Better Captures Seasonal And Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems Of Southwestern North America
Journal: Geophysical Research Letters, Volume 45 (2): 748-757 (2018), ISBN . DOI: 10.1002/2017GL075922 Sites: US-Mpj, US-Vcm, US-Vcp
Journal: Geophysical Research Letters, Volume 45 (2): 748-757 (2018), ISBN . DOI: 10.1002/2017GL075922 Sites: US-Mpj, US-Vcm, US-Vcp
Evaluating The Effect Of Alternative Carbon Allocation Schemes In A Land SurfaceModel (Clm4.5) On Carbon Fluxes, Pools And Turnover In Temperate Forests
Journal: Geoscientific Model Development, Volume : (2017), ISBN . DOI: doi:10.5194/gmd-2017-74 Sites: US-Mpj
Journal: Geoscientific Model Development, Volume : (2017), ISBN . DOI: doi:10.5194/gmd-2017-74 Sites: US-Mpj
Assessing Drought-Induced Change In A PiñOn-Juniper Woodland With Landsat: A Multiple Endmember Spectral Mixture Analysis Approach
Journal: International Journal Of Remote Sensing, Volume 38 (14): 4156-4176 (2017), ISBN . DOI: 10.1080/01431161.2017.1317940 Sites: US-Mpj
Journal: International Journal Of Remote Sensing, Volume 38 (14): 4156-4176 (2017), ISBN . DOI: 10.1080/01431161.2017.1317940 Sites: US-Mpj
Co2 Exchange And Evapotranspiration Across Dryland Ecosystems Of Southwestern North America
Journal: Global Change Biology, Volume 23 (10): 4204-4221 (2017), ISBN . DOI: 10.1111/gcb.13686 Sites: US-Mpj, US-Seg, US-Ses, US-Vcm, US-Vcp, US-Wjs
Journal: Global Change Biology, Volume 23 (10): 4204-4221 (2017), ISBN . DOI: 10.1111/gcb.13686 Sites: US-Mpj, US-Seg, US-Ses, US-Vcm, US-Vcp, US-Wjs
Tree Mortality Decreases Water Availability And Ecosystem Resilience To Drought In PiñOn-Juniper Woodlands In The Southwestern U.S.
Journal: Journal Of Geophysical Research: Biogeosciences, Volume 122 (12): 3343-3361 (2017), ISBN . DOI: 10.1002/2017JG004095 Sites: US-Mpj
Journal: Journal Of Geophysical Research: Biogeosciences, Volume 122 (12): 3343-3361 (2017), ISBN . DOI: 10.1002/2017JG004095 Sites: US-Mpj