9d207c49e3f165a92a780bd8aee9fa4d environsciproc_a2024v29n1art5.pdf 2d917f011c7491d1f5102f18ed5b7702b0b28af6 environsciproc_a2024v29n1art5.pdf f0b969e8dbffe844047ef59b53ab6e5cd0ff95ec555fba576d7f583617d712c5 environsciproc_a2024v29n1art5.pdf Title: An Integrated Modeling Framework to Estimate Time Series of Evapotranspiration on a Regional Scale Using MODIS Data and a Two-Source Energy Balance Model "2279 Subject: Satellite remote sensing has become an important tool for monitoring and evaluating the impacts of drought. In this study, a modeling framework aimed at estimating the time series of evapotranspiration (ET), a key variable for drought monitoring, at a regional scale is presented. A two-source energy balance (TSEB) model was used concurrently with Terra/Aqua MODIS data and the ERA5 atmospheric reanalysis dataset. The modeling framework is based on the SEN-ET scheme to calculate the surface energy balance of the soil-canopy-atmosphere continuum and estimate ET at 1 km spatial resolution. The model was applied for the whole Iberian Peninsula, and it was evaluated with a pistachio orchard flux tower data in Lleida (NE Iberian Peninsula). Preliminary daily ET evaluation results for the Terra dataset showed an RMSE, MBE, and R2 of around 1.43 Wm-2, -1.27 Wm-2, and 0.56, respectively, and for the Aqua dataset were 1.05 Wm-2, -0.84 Wm-2 and 0.48, respectively within 100 days in 2022. Ongoing evaluation is being carried out on two forested watersheds as well as mountain meadows and semi-arid vegetation flux towers. Keywords: remote sensing; drought; evapotranspiration; two-source energy balance; water resource management; MODIS Author: Mahsa Bozorgi and Jordi Cristóbal Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Jan 25 11:04:40 2024 CET ModDate: Thu Jan 25 11:11:44 2024 CET Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 6 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 3234072 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- SOZKOC+VnURWPalladioL-Bold Type 1 Custom yes yes no 10 0 ZHOANP+VnURWPalladioL Type 1 Custom yes yes no 15 0 IOKGQL+URWPalladioL-Bold Type 1 Custom yes yes no 19 0 YKNYFL+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 JKXGWN+URWPalladioL-Ital Type 1 Custom yes yes no 28 0 YUWHZX+CMSY10 Type 1 Builtin yes yes no 32 0 AONDBB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 82 0 AONDBD+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 85 0 AONDBE+PalatinoLinotype CID TrueType Identity-H yes yes yes 88 0 AONDBF+PalatinoLinotype TrueType WinAnsi yes yes no 94 0 AONDCG+PalatinoLinotype TrueType MacRoman yes yes no 97 0 AONDBB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 112 0 AONDBD+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 115 0 AONDBE+PalatinoLinotype CID TrueType Identity-H yes yes yes 118 0 AONDBF+PalatinoLinotype TrueType WinAnsi yes yes no 124 0 AONDCG+PalatinoLinotype TrueType MacRoman yes yes no 127 0 AONDBB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 142 0 AONDBD+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 145 0 AONDBE+PalatinoLinotype CID TrueType Identity-H yes yes yes 148 0 AONDBF+PalatinoLinotype TrueType WinAnsi yes yes no 154 0 AONDCG+PalatinoLinotype TrueType MacRoman yes yes no 157 0 AONDBB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 168 0 AONDBD+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 171 0 AONDBE+PalatinoLinotype CID TrueType Identity-H yes yes yes 174 0 AONDBF+PalatinoLinotype TrueType WinAnsi yes yes no 180 0 AONDCG+PalatinoLinotype TrueType MacRoman yes yes no 183 0 AONDBB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 198 0 AONDBD+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 201 0 AONDBE+PalatinoLinotype CID TrueType Identity-H yes yes yes 204 0 AONDBF+PalatinoLinotype TrueType WinAnsi yes yes no 210 0 AONDCG+PalatinoLinotype TrueType MacRoman yes yes no 213 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-02-01 02:49:08 CET RepresentationInformation: environsciproc_a2024v29n1art5.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-01-31 20:28:24 CET Size: 3234072 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 284 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Materials and Methods Destination: section.2 Children: Item: Title: Study Area Destination: subsection.2.1 Item: Title: Brief Overview of the ET Modeling Framework Destination: subsection.2.2 Item: Title: Remote Sensing and Meteorological TSEB Input Variables Destination: subsection.2.3 Item: Title: Time Series of Vegetation Properties and Biophysical Data Destination: subsection.2.4 Item: Title: Results Destination: section.3 Item: Title: Discussion Destination: section.4 Item: Title: Conclusions Destination: section.5 Item: Title: References Destination: section.6 Info: Title: An Integrated Modeling Framework to Estimate Time Series of Evapotranspiration on a Regional Scale Using MODIS Data and a Two-Source Energy Balance Model "2279 Author: Mahsa Bozorgi and Jordi Cristóbal Subject: Satellite remote sensing has become an important tool for monitoring and evaluating the impacts of drought. In this study, a modeling framework aimed at estimating the time series of evapotranspiration (ET), a key variable for drought monitoring, at a regional scale is presented. A two-source energy balance (TSEB) model was used concurrently with Terra/Aqua MODIS data and the ERA5 atmospheric reanalysis dataset. The modeling framework is based on the SEN-ET scheme to calculate the surface energy balance of the soil-canopy-atmosphere continuum and estimate ET at 1 km spatial resolution. The model was applied for the whole Iberian Peninsula, and it was evaluated with a pistachio orchard flux tower data in Lleida (NE Iberian Peninsula). Preliminary daily ET evaluation results for the Terra dataset showed an RMSE, MBE, and R2 of around 1.43 Wm-2, -1.27 Wm-2, and 0.56, respectively, and for the Aqua dataset were 1.05 Wm-2, -0.84 Wm-2 and 0.48, respectively within 100 days in 2022. Ongoing evaluation is being carried out on two forested watersheds as well as mountain meadows and semi-arid vegetation flux towers. 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