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Volk J, Huntington J, Melton F, Minor B, Wang T, Anapalli S, Anderson R, Evett S, French A, Jasoni R, Bambach N, Kustas W, Alfieri J, Prueger J, Hipps L, McKee L, Castro S, Alsina M, McElrone A, Reba M, Runkle B, Saber M, Sanchez C, Tajfar E, Allen R, Anderson M. Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset. Data Brief 2023; 48:109274. [PMID: 37383786 PMCID: PMC10294113 DOI: 10.1016/j.dib.2023.109274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Large sample datasets of in situ evapotranspiration (ET) measurements with well documented data provenance and quality assurance are critical for water management and many fields of earth science research. We present a post-processed ET oriented dataset at daily and monthly timesteps, from 161 stations, including 148 eddy covariance flux towers, that were chosen based on their data quality from nearly 350 stations across the contiguous United States. In addition to ET, the data includes energy and heat fluxes, meteorological measurements, and reference ET downloaded from gridMET for each flux station. Data processing techniques were conducted in a reproducible manner using open-source software. Most data initially came from the public AmeriFlux network, however, several different networks (e.g., the USDA-Agricultural Research Service) and university partners provided data that was not yet public. Initial half-hourly energy balance data were gap-filled and aggregated to daily frequency, and turbulent fluxes were corrected for energy balance closure error using the FLUXNET2015/ONEFlux energy balance ratio approach. Metadata, diagnostics of energy balance, and interactive graphs of time series data are included for each station. Although the dataset was developed primarily to benchmark satellite-based remote sensing ET models of the OpenET initiative, there are many other potential uses, such as validation for a range of regional hydrologic and atmospheric models.
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Affiliation(s)
- J.M. Volk
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV 89512 USA
| | - J.L. Huntington
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV 89512 USA
| | - F. Melton
- NASA Ames Research Center, Mail Stop 245-1, Moffett Field, CA 94035-1000 USA
- California State University, Monterey Bay, Seaside, CA 93955 USA
| | - B. Minor
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV 89512 USA
| | - T. Wang
- University of California, Berkeley, Berkeley, CA 94720 USA
| | - S. Anapalli
- USDA-ARS, Sustainable Water Management Research Unit, 4006 Old Leland Road, Stoneville, MS 38776 USA
| | - R.G. Anderson
- USDA-ARS US Salinity Laboratory, Agricultural Water Efficiency and Salinity Research Unit, 450 W Big Springs Rd Riverside, CA 92507-4617 USA
| | - S. Evett
- USDA-ARS Conservation & Production Research Laboratory, 300 Simmons Road, Bushland, TX 79012 USA
| | - A. French
- USDA-ARS US Arid-Land Agricultural Research Center, 21881 North Cardon Lane, Maricopa, AZ, 85238 USA
| | - R. Jasoni
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV 89512 USA
| | - N. Bambach
- University of California, Davis, CA 95616 USA
| | - W.P. Kustas
- USDA-ARS Hydrology and Remote Sensing Laboratory, Bldg. 007, Rm. 104, BARC-West, Beltsville, MD 20705-2350 USA
| | - J. Alfieri
- USDA-ARS Hydrology and Remote Sensing Laboratory, Bldg. 007, Rm. 104, BARC-West, Beltsville, MD 20705-2350 USA
| | - J. Prueger
- USDA-ARS National Laboratory for Agriculture and The Environment, 1015 N. University Blvd., AMES, IA 50011 USA
| | - L. Hipps
- Utah State University, Logan, UT 84322-0102 USA
| | - L. McKee
- USDA-ARS Hydrology and Remote Sensing Laboratory, Bldg. 007, Rm. 104, BARC-West, Beltsville, MD 20705-2350 USA
| | - S.J. Castro
- USDA-ARS US Salinity Laboratory, Agricultural Water Efficiency and Salinity Research Unit, 450 W Big Springs Rd Riverside, CA 92507-4617 USA
| | - M.M. Alsina
- E & J Gallo Winery, Viticulture, Chemistry and Enology, Modesto, CA USA
| | - A.J. McElrone
- Utah State University, Logan, UT 84322-0102 USA
- USDA-ARS Crops Pathology and Genetics Research Unit, Davis, CA, 95616 USA
| | - M. Reba
- USDA-ARS Delta Water Management Research, Jonesboro, AR, 72401 USA
| | - B. Runkle
- University of Arkansas, Fayetteville, AR 72701 USA
| | - M. Saber
- University of Arizona, Tucson, AZ 85721 USA
| | - C. Sanchez
- University of Arizona, Tucson, AZ 85721 USA
| | - E. Tajfar
- University of Arkansas, Fayetteville, AR 72701 USA
| | - R. Allen
- University of Idaho, Moscow, ID 83844 USA
- University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - M. Anderson
- USDA-ARS Hydrology and Remote Sensing Laboratory, Bldg. 007, Rm. 104, BARC-West, Beltsville, MD 20705-2350 USA
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Ackermann KH, Adams N, Adler C, Ahammed Z, Ahmad S, Allgower C, Amsbaugh J, Anderson M, Anderssen E, Arnesen H, Arnold L, Averichev GS, Baldwin A, Balewski J, Barannikova O, Barnby LS, Baudot J, Beddo M, Bekele S, Belaga VV, Bellwied R, Bennett S, Bercovitz J, Berger J, Betts W, Bichsel H, Bieser F, Bland LC, Bloomer M, Blyth CO, Boehm J, Bonner BE, Bonnet D, Bossingham R, Botlo M, Boucham A, Bouillo N, Bouvier S, Bradley K, Brady FP, Braithwaite ES, Braithwaite W, Brandin A, Brown RL, Brugalette G, Byrd C, Caines H, Calderón de la Barca Sánchez M, Cardenas A, Carr L, Carroll J, Castillo J, Caylor B, Cebra D, Chatopadhyay S, Chen ML, Chen W, Chen Y, Chernenko SP, Cherney M, Chikanian A, Choi B, Chrin J, Christie W, Coffin JP, Conin L, Consiglio C, Cormier TM, Cramer JG, Crawford HJ, Danilov VI, Dayton D, DeMello M, Deng WS, Derevschikov AA, Dialinas M, Diaz H, DeYoung PA, Didenko L, Dimassimo D, Dioguardi J, Dominik W, Drancourt C, Draper JE, Dunin VB, Dunlop JC, Eckardt V, Edwards WR, Efimov LG, Eggert T, Emelianov V, Engelage J, Eppley G, Erazmus B, Etkin A, Fachini P, Feliciano C, Ferenc D, Ferguson MI, Fessler H, Finch E, Fine V, Fisyak Y, Flierl D, Flores I, Foley KJ, Fritz D, Gagunashvili N, Gans J, Gazdzicki M, Germain M, Geurts F, Ghazikhanian V, Gojak C, Grabski J, Grachov O, Grau M, Greiner D, Greiner L, Grigoriev V, Grosnick D, Gross J, Guilloux G, Gushin E, Hall J, Hallman TJ, Hardtke D, Harper G, Harris JW, He P, Heffner M, Heppelmann S, Herston T, Hill D, Hippolyte B, Hirsch A, Hjort E, Hoffmann GW, Horsley M, Howe M, Huang HZ, Humanic TJ, Hümmler H, Hunt W, Hunter J, Igo GJ, Ishihara A, Ivanshin YI, Jacobs P, Jacobs WW, Jacobson S, Jared R, Jensen P, Johnson I, Jones PG, Judd E, Kaneta M, Kaplan M, Keane D, Kenney VP, Khodinov A, Klay J, Klein SR, Klyachko A, Koehler G, Konstantinov AS, Kormilitsyne V, Kotchenda L, Kotov I, Kovalenko AD, Kramer M, Kravtsov P, Krueger K, Krupien T, Kuczewski P, Kuhn C, Kunde GJ, Kunz CL, Kutuev RK, Kuznetsov AA, Lakehal-Ayat L, Lamas-Valverde J, Lamont MA, Landgraf JM, Lange S, Lansdell CP, Lasiuk B, Laue F, Lebedev A, LeCompte T, Leonhardt WJ, Leontiev VM, Leszczynski P, LeVine MJ, Li Q, Li Q, Li Z, Liaw CJ, Lin J, Lindenbaum SJ, Lindenstruth V, Lindstrom PJ, Lisa MA, Liu H, Ljubicic T, Llope WJ, LoCurto G, Long H, Longacre RS, Lopez-Noriega M, Lopiano D, Love WA, Lutz JR, Lynn D, Madansky L, Maier R, Majka R, Maliszewski A, Margetis S, Marks K, Marstaller R, Martin L, Marx J, Matis HS, Matulenko YA, Matyushevski EA, McParland C, McShane TS, Meier J, Melnick Y, Meschanin A, Middlekamp P, Mikhalin N, Miller B, Milosevich Z, Minaev NG, Minor B, Mitchell J, Mogavero E, Moiseenko VA, Moltz D, Moore CF, Morozov V, Morse R, de Moura MM, Munhoz MG, Mutchler GS, Nelson JM, Nevski P, Ngo T, Nguyen M, Nguyen T, Nikitin VA, Nogach LV, Noggle T, Norman B, Nurushev SB, Nussbaum T, Nystrand J, Odyniec G, Ogawa A, Ogilvie CA, Olchanski K, Oldenburg M, Olson D, Ososkov GA, Ott G, Padrazo D, Paic G, Pandey SU, Panebratsev Y, Panitkin SY, Pavlinov AI, Pawlak T, Pentia M, Perevotchikov V, Peryt W, Petrov VA, Pinganaud W, Pirogov S, Platner E, Pluta J, Polk I, Porile N, Porter J, Poskanzer AM, Potrebenikova E, Prindle D, Pruneau C, Puskar-Pasewicz J, Rai G, Rasson J, Ravel O, Ray RL, Razin SV, Reichhold D, Reid J, Renfordt RE, Retiere F, Ridiger A, Riso J, Ritter HG, Roberts JB, Roehrich D, Rogachevski OV, Romero JL, Roy C, Russ D, Rykov V, Sakrejda I, Sanchez R, Sandler Z, Sandweiss J, Sappenfield P, Saulys AC, Savin I, Schambach J, Scharenberg RP, Scheblien J, Scheetz R, Schlueter R, Schmitz N, Schroeder LS, Schulz M, Schüttauf A, Sedlmeir J, Seger J, Seliverstov D, Seyboth J, Seyboth P, Seymour R, Shakaliev EI, Shestermanov KE, Shi Y, Shimanskii SS, Shuman D, Shvetcov VS, Skoro G, Smirnov N, Smykov LP, Snellings R, Solberg K, Sowinski J, Spinka HM, Srivastava B, Stephenson EJ, Stock R, Stolpovsky A, Stone N, Stone R, Strikhanov M, Stringfellow B, Stroebele H, Struck C, Suaide AA, Sugarbaker E, Suire C, Symons TJ, Takahashi J, Tang AH, Tarchini A, Tarzian J, Thomas JH, Tikhomirov V, Szanto De Toledo A, Tonse S, Trainor T, Trentalange S, Tokarev M, Tonjes MB, Trofimov V, Tsai O, Turner K, Ullrich T, Underwood DG, Vakula I, Van Buren G, VanderMolen AM, Vanyashin A, Vasilevski IM, Vasiliev AN, Vigdor SE, Visser G, Voloshin SA, Vu C, Wang F, Ward H, Weerasundara D, Weidenbach R, Wells R, Wells R, Wenaus T, Westfall GD, Whitfield JP, Whitten C, Wieman H, Willson R, Wilson K, Wirth J, Wisdom J, Wissink SW, Witt R, Wolf J, Wood L, Xu N, Xu Z, Yakutin AE, Yamamoto E, Yang J, Yepes P, Yokosawa A, Yurevich VI, Zanevski YV, Zhang J, Zhang WM, Zhu J, Zimmerman D, Zoulkarneev R, Zubarev AN. Elliptic flow in Au+Au collisions at square root(S)NN = 130 GeV. Phys Rev Lett 2001; 86:402-407. [PMID: 11177841 DOI: 10.1103/physrevlett.86.402] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2000] [Indexed: 05/23/2023]
Abstract
Elliptic flow from nuclear collisions is a hadronic observable sensitive to the early stages of system evolution. We report first results on elliptic flow of charged particles at midrapidity in Au+Au collisions at square root(S)NN = 130 GeV using the STAR Time Projection Chamber at the Relativistic Heavy Ion Collider. The elliptic flow signal, v2, averaged over transverse momentum, reaches values of about 6% for relatively peripheral collisions and decreases for the more central collisions. This can be interpreted as the observation of a higher degree of thermalization than at lower collision energies. Pseudorapidity and transverse momentum dependence of elliptic flow are also presented.
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