Publications Found: 1299
An improved practical approach for estimating catchment‐scale response functions through wavelet analysis
Dwivedi, R., Eastoe, C., Knowles, J. F., Hamann, L., Meixner, T., Ferre, P.A., Castro, C., Wright, W.E., Niu, G.-Y., Minor, R., Barron-Gafford, G. A., Abramson, N., Mitra, B., Papuga, S.A., Stanley, M., Chorover, J.

Catchment‐scale response functions, such as transit time distribution (TTD) and evapotranspiration time distribution (ETTD), are considered fundamental descriptors of a catchment’s hydrologic and ecohydrologic responses to spatially and temporally varying precipitation inputs. Yet, estimating these functions is challenging, especially …

Journal: Hydrological Processes, Volume 35 (3): e14082 (2021). DOI: 10.1002/hyp.14082 Sites: US-MtB

Carbon Flux Trajectories and Site Conditions from Restored Impounded Marshes in the Sacramento-San Joaquin Delta
Valach, Alex C. Kasak, Kuno Hemes, Kyle S. Szutu, Daphne Verfaillie, Joe Baldocchi, Dennis D.

Journal: Wetland Carbon and Environmental Management, Volume : (2021). DOI: 10.1002/9781119639305.ch13 Sites: US-Myb, US-Sne, US-Tw1, US-Tw4

Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites
Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., Zona, D.

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). 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

Productive Wetlands Restored For Carbon Sequestration Quickly Become Net Co2 Sinks With Site-Level Factors Driving Uptake Variability
Valach, A. C., Kasak, K., Hemes, K. S., Anthony, T. L., Dronova, I., Taddeo, S., Silver, W. L., Szutu, D., Verfaillie, J., Baldocchi, D. D.

Journal: Plos One, Volume 16 (3): e0248398 (2021). DOI: 10.1371/journal.pone.0248398 Sites: US-Myb, US-Sne, US-Tw1, US-Tw4

The Effect Of Static Pressure-Wind Covariance On Vertical Carbon Dioxide Exchange At A Windy Subalpine Forest Site
Burns, S. P., Frank, J. M., Massman, W. J., Patton, E. G., Blanken, P. D.

Journal: Agricultural And Forest Meteorology, Volume 306: 108402 (2021). DOI: 10.1016/j.agrformet.2021.108402 Sites: US-GLE, US-NR1

Water And Carbon Fluxes Along An Elevational Gradient In A Sagebrush Ecosystem
Flerchinger, G. N., Fellows, A. W., Seyfried, M. S., Clark, P. E., Lohse, K. A.

Journal: Ecosystems, Volume 23 (2): 246-263 (2020). DOI: Sites: US-Rls, US-Rms, US-Rwe, US-Rwf

The Response Of Spectral Vegetation Indices And Solar‐Induced Fluorescence To Changes In Illumination Intensity And Geometry In The Days Surrounding The 2017 North American Solar Eclipse
Rogers, C. A., Chen, J. M., Zheng, T., Croft, H., Gonsamo, A., Luo, X., Staebler, R. M.

Journal: Journal Of Geophysical Research: Biogeosciences, Volume 125 (10): (2020). DOI: 10.1029/2020JG005774 Sites: CA-Cbo

Hydrometeorological Sensitivities Of Net Ecosystem Carbon Dioxide And Methane Exchange Of An Amazonian Palm Swamp Peatland
Griffis, T., Roman, D., Wood, J., Deventer, J., Fachin, L., Rengifo, J., Del Castillo, D., Lilleskov, E., Kolka, R., Chimner, R., del Aguila-Pasquel, J., Wayson, C., Hergoualc'h, K., Baker, J., Cadillo-Quiroz, H., Ricciuto, D.

Tropical peatlands are a major, but understudied, biophysical feedback factor on the atmospheric greenhouse effect. The largest expanses of tropical peatlands are located in lowland areas of Southeast Asia and the Amazon basin. The Loreto Region of Amazonian Peru contains ~63,000 km2 of peatlands. However, little is known about the …

Journal: Agricultural And Forest Meteorology, Volume 295: 108167 (2020). DOI: 10.1016/j.agrformet.2020.108167 Sites: PE-QFR

An Eddy Covariance Mesonet For Measuring Greenhouse Gas Fluxes In Coastal South Carolina
Forsythe, J. D., O’Halloran, T. L., Kline, M. A.

Coastal ecosystems are vulnerable to climate change and have been identified as sources of uncertainty in the global carbon budget. Here we introduce a recently established mesonet of eddy covariance towers in South Carolina and describe the sensor arrays and data workflow used to produce three site-years of flux observations in …

Journal: Data, Volume 5 (4): 97 (2020). DOI: 10.3390/data5040097 Sites: US-HB1, US-HB2, US-HB3

Long‐Term Evapotranspiration Rates For Rainfed Corn Versus Perennial Bioenergy Crops In A Mesic Landscape
Abraha, M., Chen, J., Hamilton, S. K., Robertson, G. P.

Journal: Hydrological Processes, Volume 34 (3): 810-822 (2020). DOI: DOI: 10.1002/hyp.13630 Sites: