Performance of real evapotranspiration products and water yield estimations in Uruguay
Resumen:
Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management.
2023 | |
Agencia Nacional de Investigación e Innovación | |
Remote sensing Land-cover Water balance NDVI Precipitation Ciencias Agrícolas Ciencias Naturales y Exactas Ciencias de la Tierra y relacionadas con el Medio Ambiente |
|
Inglés | |
Agencia Nacional de Investigación e Innovación | |
REDI | |
https://hdl.handle.net/20.500.12381/3185 | |
Acceso abierto | |
Reconocimiento 4.0 Internacional. (CC BY) |
_version_ | 1814959255517659136 |
---|---|
author | Gallego, Federico |
author2 | Camba-Sans, Gonzalo Di Bella, Carlos Tiscornia, Guadalupe Paruelo, José M. |
author2_role | author author author author |
author_facet | Gallego, Federico Camba-Sans, Gonzalo Di Bella, Carlos Tiscornia, Guadalupe Paruelo, José M. |
author_role | author |
bitstream.checksum.fl_str_mv | 3c9d86d36485746409b4281a0893d729 b2add2658c914fab7d854f1ceb097af4 |
bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 |
bitstream.url.fl_str_mv | https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3185/2/license.txt https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3185/1/Main_text.docx |
collection | REDI |
dc.creator.none.fl_str_mv | Gallego, Federico Camba-Sans, Gonzalo Di Bella, Carlos Tiscornia, Guadalupe Paruelo, José M. |
dc.date.accessioned.none.fl_str_mv | 2023-04-10T14:45:42Z |
dc.date.available.none.fl_str_mv | 2023-04-10T14:45:42Z |
dc.date.issued.none.fl_str_mv | 2023-03-04 |
dc.description.abstract.none.fl_txt_mv | Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management. |
dc.description.sponsorship.none.fl_txt_mv | Agencia Nacional de Investigación e Innovación |
dc.identifier.anii.es.fl_str_mv | FMV_3_2020_1_162279 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12381/3185 |
dc.language.iso.none.fl_str_mv | eng |
dc.rights.es.fl_str_mv | Acceso abierto |
dc.rights.license.none.fl_str_mv | Reconocimiento 4.0 Internacional. (CC BY) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:REDI instname:Agencia Nacional de Investigación e Innovación instacron:Agencia Nacional de Investigación e Innovación |
dc.subject.anii.none.fl_str_mv | Ciencias Agrícolas Ciencias Naturales y Exactas Ciencias de la Tierra y relacionadas con el Medio Ambiente |
dc.subject.es.fl_str_mv | Remote sensing Land-cover Water balance NDVI Precipitation |
dc.title.none.fl_str_mv | Performance of real evapotranspiration products and water yield estimations in Uruguay |
dc.type.es.fl_str_mv | Preprint |
dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
description | Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management. |
eu_rights_str_mv | openAccess |
format | preprint |
id | REDI_92edb927797296ff97e763ad4890c28a |
identifier_str_mv | FMV_3_2020_1_162279 |
instacron_str | Agencia Nacional de Investigación e Innovación |
institution | Agencia Nacional de Investigación e Innovación |
instname_str | Agencia Nacional de Investigación e Innovación |
language | eng |
network_acronym_str | REDI |
network_name_str | REDI |
oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/3185 |
publishDate | 2023 |
reponame_str | REDI |
repository.mail.fl_str_mv | jmaldini@anii.org.uy |
repository.name.fl_str_mv | REDI - Agencia Nacional de Investigación e Innovación |
repository_id_str | 9421 |
rights_invalid_str_mv | Reconocimiento 4.0 Internacional. (CC BY) Acceso abierto |
spelling | Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2023-04-10T14:45:42Z2023-04-10T14:45:42Z2023-03-04https://hdl.handle.net/20.500.12381/3185FMV_3_2020_1_162279Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management.Agencia Nacional de Investigación e InnovaciónengRemote sensingLand-coverWater balanceNDVIPrecipitationCiencias AgrícolasCiencias Naturales y ExactasCiencias de la Tierra y relacionadas con el Medio AmbientePerformance of real evapotranspiration products and water yield estimations in UruguayPreprintinfo:eu-repo/semantics/preprintUniversidad de la República. Facultad de Ciencias//Ciencias Agrícolas//Ciencias Naturales y Exactas/Ciencias de la Tierra y relacionadas con el Medio Ambiente/Ciencias de la Tierra y relacionadas con el Medio Ambientereponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónGallego, FedericoCamba-Sans, GonzaloDi Bella, CarlosTiscornia, GuadalupeParuelo, José M.LICENSElicense.txtlicense.txttext/plain; charset=utf-84944https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3185/2/license.txt3c9d86d36485746409b4281a0893d729MD52ORIGINALMain_text.docxMain_text.docxapplication/vnd.openxmlformats-officedocument.wordprocessingml.document2623767https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3185/1/Main_text.docxb2add2658c914fab7d854f1ceb097af4MD5120.500.12381/31852023-04-10 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- Agencia Nacional de Investigación e Innovaciónfalse |
spellingShingle | Performance of real evapotranspiration products and water yield estimations in Uruguay Gallego, Federico Remote sensing Land-cover Water balance NDVI Precipitation Ciencias Agrícolas Ciencias Naturales y Exactas Ciencias de la Tierra y relacionadas con el Medio Ambiente |
title | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_full | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_fullStr | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_full_unstemmed | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_short | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_sort | Performance of real evapotranspiration products and water yield estimations in Uruguay |
topic | Remote sensing Land-cover Water balance NDVI Precipitation Ciencias Agrícolas Ciencias Naturales y Exactas Ciencias de la Tierra y relacionadas con el Medio Ambiente |
url | https://hdl.handle.net/20.500.12381/3185 |