Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA
The Yukon River basin encompasses over 832,000 km<sup>2</sup> of boreal Arctic Alaska and northwest Canada, providing a major transportation corridor and multiple natural resources to regional communities. The river seasonal hydrology is defined by a long winter frozen season and a snowm...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/12/2284 |
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| author | Caleb G. Pan Peter B. Kirchner John S. Kimball Jinyang Du Michael A. Rawlins |
| author_facet | Caleb G. Pan Peter B. Kirchner John S. Kimball Jinyang Du Michael A. Rawlins |
| author_sort | Caleb G. Pan |
| collection | DOAJ |
| description | The Yukon River basin encompasses over 832,000 km<sup>2</sup> of boreal Arctic Alaska and northwest Canada, providing a major transportation corridor and multiple natural resources to regional communities. The river seasonal hydrology is defined by a long winter frozen season and a snowmelt-driven spring flood pulse. Capabilities for accurate monitoring and forecasting of the annual spring freshet and river ice breakup (RIB) in the Yukon and other northern rivers is limited, but critical for understanding hydrologic processes related to snow, and for assessing flood-related risks to regional communities. We developed a regional snow phenology record using satellite passive microwave remote sensing to elucidate interactions between the timing of upland snowmelt and the downstream spring flood pulse and RIB in the Yukon. The seasonal snow metrics included annual Main Melt Onset Date (MMOD), Snowoff (SO) and Snowmelt Duration (SMD) derived from multifrequency (18.7 and 36.5 GHz) daily brightness temperatures and a physically-based Gradient Ratio Polarization (GRP) retrieval algorithm. The resulting snow phenology record extends over a 29-year period (1988–2016) with 6.25 km grid resolution. The MMOD retrievals showed good agreement with similar snow metrics derived from in situ weather station measurements of snowpack water equivalence (r = 0.48, bias = −3.63 days) and surface air temperatures (r = 0.69, bias = 1 day). The MMOD and SO impact on the spring freshet was investigated by comparing areal quantiles of the remotely sensed snow metrics with measured streamflow quantiles over selected sub-basins. The SO 50% quantile showed the strongest (p < 0.1) correspondence with the measured spring flood pulse at Stevens Village (r = 0.71) and Pilot (r = 0.63) river gaging stations, representing two major Yukon sub-basins. MMOD quantiles indicating 20% and 50% of a catchment under active snowmelt corresponded favorably with downstream RIB (r = 0.61) from 19 river observation stations spanning a range of Yukon sub-basins; these results also revealed a 14–27 day lag between MMOD and subsequent RIB. Together, the satellite based MMOD and SO metrics show potential value for regional monitoring and forecasting of the spring flood pulse and RIB timing in the Yukon and other boreal Arctic basins. |
| first_indexed | 2024-03-10T10:31:22Z |
| format | Article |
| id | doaj.art-8903b7e5d73d4969b7e180268415f706 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T10:31:22Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8903b7e5d73d4969b7e180268415f7062023-11-21T23:38:51ZengMDPI AGRemote Sensing2072-42922021-06-011312228410.3390/rs13122284Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USACaleb G. Pan0Peter B. Kirchner1John S. Kimball2Jinyang Du3Michael A. Rawlins4Innov8.ag Solutions, Walla Walla, WA 99362, USASouthwest Alaska Network Inventory and Monitoring Program, National Park Service, Anchorage, AK 99501, USANumerical Terradynamic Simulations Group, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59801, USANumerical Terradynamic Simulations Group, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59801, USADepartment of Geosciences, University of Massachusetts, Amherst, MA 01003, USAThe Yukon River basin encompasses over 832,000 km<sup>2</sup> of boreal Arctic Alaska and northwest Canada, providing a major transportation corridor and multiple natural resources to regional communities. The river seasonal hydrology is defined by a long winter frozen season and a snowmelt-driven spring flood pulse. Capabilities for accurate monitoring and forecasting of the annual spring freshet and river ice breakup (RIB) in the Yukon and other northern rivers is limited, but critical for understanding hydrologic processes related to snow, and for assessing flood-related risks to regional communities. We developed a regional snow phenology record using satellite passive microwave remote sensing to elucidate interactions between the timing of upland snowmelt and the downstream spring flood pulse and RIB in the Yukon. The seasonal snow metrics included annual Main Melt Onset Date (MMOD), Snowoff (SO) and Snowmelt Duration (SMD) derived from multifrequency (18.7 and 36.5 GHz) daily brightness temperatures and a physically-based Gradient Ratio Polarization (GRP) retrieval algorithm. The resulting snow phenology record extends over a 29-year period (1988–2016) with 6.25 km grid resolution. The MMOD retrievals showed good agreement with similar snow metrics derived from in situ weather station measurements of snowpack water equivalence (r = 0.48, bias = −3.63 days) and surface air temperatures (r = 0.69, bias = 1 day). The MMOD and SO impact on the spring freshet was investigated by comparing areal quantiles of the remotely sensed snow metrics with measured streamflow quantiles over selected sub-basins. The SO 50% quantile showed the strongest (p < 0.1) correspondence with the measured spring flood pulse at Stevens Village (r = 0.71) and Pilot (r = 0.63) river gaging stations, representing two major Yukon sub-basins. MMOD quantiles indicating 20% and 50% of a catchment under active snowmelt corresponded favorably with downstream RIB (r = 0.61) from 19 river observation stations spanning a range of Yukon sub-basins; these results also revealed a 14–27 day lag between MMOD and subsequent RIB. Together, the satellite based MMOD and SO metrics show potential value for regional monitoring and forecasting of the spring flood pulse and RIB timing in the Yukon and other boreal Arctic basins.https://www.mdpi.com/2072-4292/13/12/2284snow coversnowmeltpassive microwavestreamflowAlaska |
| spellingShingle | Caleb G. Pan Peter B. Kirchner John S. Kimball Jinyang Du Michael A. Rawlins Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA Remote Sensing snow cover snowmelt passive microwave streamflow Alaska |
| title | Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA |
| title_full | Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA |
| title_fullStr | Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA |
| title_full_unstemmed | Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA |
| title_short | Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA |
| title_sort | snow phenology and hydrologic timing in the yukon river basin ak usa |
| topic | snow cover snowmelt passive microwave streamflow Alaska |
| url | https://www.mdpi.com/2072-4292/13/12/2284 |
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