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Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics
We investigate the interannual and interdecadal hydrological changes in the Amazon River basin and its sub-basins during the 1980–2015 period using GRACE satellite data and a physically based, 2 km grid continental-scale hydrological model (LEAF-Hydro-Flood) that includes a prognostic groundwater sc...
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Published in: | Hydrology and earth system sciences 2019-07, Vol.23 (7), p.2841-2862 |
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creator | Chaudhari, Suyog Pokhrel, Yadu Moran, Emilio Miguez-Macho, Gonzalo |
description | We investigate the interannual and interdecadal
hydrological changes in the Amazon River basin and its sub-basins during
the 1980–2015 period using GRACE satellite data and a physically based, 2 km
grid continental-scale hydrological model (LEAF-Hydro-Flood) that includes a
prognostic groundwater scheme and accounts for the effects of land use–land
cover (LULC) change. The analyses focus on the dominant mechanisms that
modulate terrestrial water storage (TWS) variations and droughts. We find
that (1) the model simulates the basin-averaged TWS variations remarkably
well; however, disagreements are observed in spatial patterns of temporal
trends, especially for the post-2008 period. (2) The 2010s is the driest
period since 1980, characterized by a major shift in the decadal mean compared
to the 2000s caused by increased drought frequency. (3) Long-term trends in TWS
suggest that the Amazon overall is getting wetter (1.13 mm yr−1), but its
southern and southeastern sub-basins are undergoing significant negative TWS
changes, caused primarily by intensified LULC changes. (4) Increasing
divergence between dry-season total water deficit and TWS release suggests a
strengthening dry season, especially in the southern and southeastern
sub-basins. (5) The sub-surface storage regulates the propagation of
meteorological droughts into hydrological droughts by strongly modulating
TWS release with respect to its storage preceding the drought condition. Our
simulations provide crucial insight into the importance of sub-surface storage
in alleviating surface water deficit across Amazon and open pathways for
improving prediction and mitigation of extreme droughts under changing
climate and increasing hydrologic alterations due to human activities (e.g.,
LULC change). |
doi_str_mv | 10.5194/hess-23-2841-2019 |
format | article |
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hydrological changes in the Amazon River basin and its sub-basins during
the 1980–2015 period using GRACE satellite data and a physically based, 2 km
grid continental-scale hydrological model (LEAF-Hydro-Flood) that includes a
prognostic groundwater scheme and accounts for the effects of land use–land
cover (LULC) change. The analyses focus on the dominant mechanisms that
modulate terrestrial water storage (TWS) variations and droughts. We find
that (1) the model simulates the basin-averaged TWS variations remarkably
well; however, disagreements are observed in spatial patterns of temporal
trends, especially for the post-2008 period. (2) The 2010s is the driest
period since 1980, characterized by a major shift in the decadal mean compared
to the 2000s caused by increased drought frequency. (3) Long-term trends in TWS
suggest that the Amazon overall is getting wetter (1.13 mm yr−1), but its
southern and southeastern sub-basins are undergoing significant negative TWS
changes, caused primarily by intensified LULC changes. (4) Increasing
divergence between dry-season total water deficit and TWS release suggests a
strengthening dry season, especially in the southern and southeastern
sub-basins. (5) The sub-surface storage regulates the propagation of
meteorological droughts into hydrological droughts by strongly modulating
TWS release with respect to its storage preceding the drought condition. Our
simulations provide crucial insight into the importance of sub-surface storage
in alleviating surface water deficit across Amazon and open pathways for
improving prediction and mitigation of extreme droughts under changing
climate and increasing hydrologic alterations due to human activities (e.g.,
LULC change).</description><identifier>ISSN: 1607-7938</identifier><identifier>ISSN: 1027-5606</identifier><identifier>EISSN: 1607-7938</identifier><identifier>DOI: 10.5194/hess-23-2841-2019</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Basins ; Climate change ; Climatic extremes ; Computer simulation ; Divergence ; Drought ; Drought characteristics ; Droughts ; Dry season ; Extreme drought ; Extreme weather ; GRACE (experiment) ; GRACE satellite ; Groundwater ; Hydrologic drought ; Hydrologic models ; Hydrology ; Land cover ; Land use ; Mitigation ; River basins ; Rivers ; Satellite data ; Surface water ; Trends ; Variation ; Water ; Water deficit ; Water resources ; Water storage ; Weather</subject><ispartof>Hydrology and earth system sciences, 2019-07, Vol.23 (7), p.2841-2862</ispartof><rights>COPYRIGHT 2019 Copernicus GmbH</rights><rights>2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c549t-e2291ddbfb9855d1b89654211555d946332ab024bd55c7461e4649cf5db4b1ef3</citedby><cites>FETCH-LOGICAL-c549t-e2291ddbfb9855d1b89654211555d946332ab024bd55c7461e4649cf5db4b1ef3</cites><orcidid>0000-0002-1367-216X ; 0000-0002-4259-7883</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2253047676/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2253047676?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Chaudhari, Suyog</creatorcontrib><creatorcontrib>Pokhrel, Yadu</creatorcontrib><creatorcontrib>Moran, Emilio</creatorcontrib><creatorcontrib>Miguez-Macho, Gonzalo</creatorcontrib><title>Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics</title><title>Hydrology and earth system sciences</title><description>We investigate the interannual and interdecadal
hydrological changes in the Amazon River basin and its sub-basins during
the 1980–2015 period using GRACE satellite data and a physically based, 2 km
grid continental-scale hydrological model (LEAF-Hydro-Flood) that includes a
prognostic groundwater scheme and accounts for the effects of land use–land
cover (LULC) change. The analyses focus on the dominant mechanisms that
modulate terrestrial water storage (TWS) variations and droughts. We find
that (1) the model simulates the basin-averaged TWS variations remarkably
well; however, disagreements are observed in spatial patterns of temporal
trends, especially for the post-2008 period. (2) The 2010s is the driest
period since 1980, characterized by a major shift in the decadal mean compared
to the 2000s caused by increased drought frequency. (3) Long-term trends in TWS
suggest that the Amazon overall is getting wetter (1.13 mm yr−1), but its
southern and southeastern sub-basins are undergoing significant negative TWS
changes, caused primarily by intensified LULC changes. (4) Increasing
divergence between dry-season total water deficit and TWS release suggests a
strengthening dry season, especially in the southern and southeastern
sub-basins. (5) The sub-surface storage regulates the propagation of
meteorological droughts into hydrological droughts by strongly modulating
TWS release with respect to its storage preceding the drought condition. Our
simulations provide crucial insight into the importance of sub-surface storage
in alleviating surface water deficit across Amazon and open pathways for
improving prediction and mitigation of extreme droughts under changing
climate and increasing hydrologic alterations due to human activities (e.g.,
LULC change).</description><subject>Basins</subject><subject>Climate change</subject><subject>Climatic extremes</subject><subject>Computer simulation</subject><subject>Divergence</subject><subject>Drought</subject><subject>Drought characteristics</subject><subject>Droughts</subject><subject>Dry season</subject><subject>Extreme drought</subject><subject>Extreme weather</subject><subject>GRACE (experiment)</subject><subject>GRACE satellite</subject><subject>Groundwater</subject><subject>Hydrologic drought</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Land cover</subject><subject>Land use</subject><subject>Mitigation</subject><subject>River basins</subject><subject>Rivers</subject><subject>Satellite data</subject><subject>Surface water</subject><subject>Trends</subject><subject>Variation</subject><subject>Water</subject><subject>Water deficit</subject><subject>Water resources</subject><subject>Water storage</subject><subject>Weather</subject><issn>1607-7938</issn><issn>1027-5606</issn><issn>1607-7938</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUk2LFDEQbUTBdfUHeAt48tBrkk7SHW_D4sfAirDqOVQn6e4MPcmapFfHf-K_NT0j6oDkUKnivVf14FXVc4KvOJHs1WRTqmlT046RmmIiH1QXROC2bmXTPfzn_7h6ktIOY9p1gl5UPz8sc3a1sRoMzGg6mBjmMDqN9AR-tAi8QfcQHfRudvmAnEd5smizhx_Bo1t3byPqITn_Gi3e2JhyYTg_omxjtCkX5oy-QelQyiFCkTzKZRd8OqqXjcs45XVhBF2ALmWn09Pq0QBzss9-18vqy9s3n6_f1zcf322vNze15kzm2lIqiTH90MuOc0P6TgrOKCG8dJKJpqHQY8p6w7lumSCWCSb1wE3PemKH5rLannRNgJ26i24P8aACOHUchDgqiOWg2Sra2A405i0WllErOtEaypkxAqTsGl60Xpy07mL4uhT3aheW6Mv5ilLeYNaKVvxFjVBEnR9CLsb3Lmm14ZIKSlrRFdTVf1DlGbt3Ong7uDI_I7w8IxRMtt_zCEtKavvp9hxLTlgdQ0rRDn-ME6zWQKk1UMWwWgOl1kA1vwBwnb-W</recordid><startdate>20190708</startdate><enddate>20190708</enddate><creator>Chaudhari, Suyog</creator><creator>Pokhrel, Yadu</creator><creator>Moran, Emilio</creator><creator>Miguez-Macho, Gonzalo</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1367-216X</orcidid><orcidid>https://orcid.org/0000-0002-4259-7883</orcidid></search><sort><creationdate>20190708</creationdate><title>Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics</title><author>Chaudhari, Suyog ; 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hydrological changes in the Amazon River basin and its sub-basins during
the 1980–2015 period using GRACE satellite data and a physically based, 2 km
grid continental-scale hydrological model (LEAF-Hydro-Flood) that includes a
prognostic groundwater scheme and accounts for the effects of land use–land
cover (LULC) change. The analyses focus on the dominant mechanisms that
modulate terrestrial water storage (TWS) variations and droughts. We find
that (1) the model simulates the basin-averaged TWS variations remarkably
well; however, disagreements are observed in spatial patterns of temporal
trends, especially for the post-2008 period. (2) The 2010s is the driest
period since 1980, characterized by a major shift in the decadal mean compared
to the 2000s caused by increased drought frequency. (3) Long-term trends in TWS
suggest that the Amazon overall is getting wetter (1.13 mm yr−1), but its
southern and southeastern sub-basins are undergoing significant negative TWS
changes, caused primarily by intensified LULC changes. (4) Increasing
divergence between dry-season total water deficit and TWS release suggests a
strengthening dry season, especially in the southern and southeastern
sub-basins. (5) The sub-surface storage regulates the propagation of
meteorological droughts into hydrological droughts by strongly modulating
TWS release with respect to its storage preceding the drought condition. Our
simulations provide crucial insight into the importance of sub-surface storage
in alleviating surface water deficit across Amazon and open pathways for
improving prediction and mitigation of extreme droughts under changing
climate and increasing hydrologic alterations due to human activities (e.g.,
LULC change).</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/hess-23-2841-2019</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-1367-216X</orcidid><orcidid>https://orcid.org/0000-0002-4259-7883</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Basins Climate change Climatic extremes Computer simulation Divergence Drought Drought characteristics Droughts Dry season Extreme drought Extreme weather GRACE (experiment) GRACE satellite Groundwater Hydrologic drought Hydrologic models Hydrology Land cover Land use Mitigation River basins Rivers Satellite data Surface water Trends Variation Water Water deficit Water resources Water storage Weather |
title | Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics |
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