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1
Improving Snow Water Equivalent Maps With Machine Learning of Snow Survey and Lidar Measurements
Improving Snow Water Equivalent Maps With Machine Learning of Snow Survey and Lidar Measurements
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Improving Snow Water Equivalent Maps With Machine Learning of Snow Survey and Lidar Measurements

Water resources research, 2019-05, Vol.55 (5), p.3739-3757 [Peer Reviewed Journal]

2019. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2018WR024146

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2
Wildfire Impacts on Snowpack Phenology in a Changing Climate Within the Western U.S
Wildfire Impacts on Snowpack Phenology in a Changing Climate Within the Western U.S
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Wildfire Impacts on Snowpack Phenology in a Changing Climate Within the Western U.S

Water resources research, 2022-08, Vol.58 (8), p.n/a [Peer Reviewed Journal]

2022 The Authors. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. ;2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2021WR031569

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3
Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE
Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE
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Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE

Water resources research, 2019-02, Vol.55 (2), p.1296-1311 [Peer Reviewed Journal]

2019. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2018WR023400

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4
Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping
Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping
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Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping

Water resources research, 2020-06, Vol.56 (6), p.n/a [Peer Reviewed Journal]

2019. The Authors. ;2019. This article is published under http://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. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR024914

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5
Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals
Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals
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Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals

Water resources research, 2012-12, Vol.48 (12), p.n/a [Peer Reviewed Journal]

2012. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2012WR012133

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6
Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty
Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty
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Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty

Water resources research, 2020-05, Vol.56 (5), p.n/a [Peer Reviewed Journal]

2020. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR026853

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7
Snow Water Equivalent Measurements in Remote Arctic Alaska Watersheds
Snow Water Equivalent Measurements in Remote Arctic Alaska Watersheds
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Snow Water Equivalent Measurements in Remote Arctic Alaska Watersheds

Water resources research, 2020-04, Vol.56 (4), p.n/a [Peer Reviewed Journal]

2020. The Authors. ;2020. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR025621

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8
The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth
The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth
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The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth

Water resources research, 2022-03, Vol.58 (3), p.n/a [Peer Reviewed Journal]

2022. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2021WR030563

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9
Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States
Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States
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Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States

Water resources research, 2014-11, Vol.50 (11), p.9088-9102 [Peer Reviewed Journal]

2014. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2013WR014734

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10
How Temperature Sensor Change Affects Warming Trends and Modeling: An Evaluation Across the State of Colorado
How Temperature Sensor Change Affects Warming Trends and Modeling: An Evaluation Across the State of Colorado
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How Temperature Sensor Change Affects Warming Trends and Modeling: An Evaluation Across the State of Colorado

Water resources research, 2019-11, Vol.55 (11), p.9748-9764 [Peer Reviewed Journal]

2019. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR025921

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11
Accuracy of Snow Water Equivalent Estimated From GPS Vertical Displacements: A Synthetic Loading Case Study for Western U.S. Mountains
Accuracy of Snow Water Equivalent Estimated From GPS Vertical Displacements: A Synthetic Loading Case Study for Western U.S. Mountains
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Accuracy of Snow Water Equivalent Estimated From GPS Vertical Displacements: A Synthetic Loading Case Study for Western U.S. Mountains

Water resources research, 2018-01, Vol.54 (1), p.581-599 [Peer Reviewed Journal]

2018. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2017WR021521

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12
Reasons for East Siberia Winter Snow Water Equivalent Increase in the Recent Decades
Reasons for East Siberia Winter Snow Water Equivalent Increase in the Recent Decades
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Reasons for East Siberia Winter Snow Water Equivalent Increase in the Recent Decades

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.134 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15010134

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13
Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States
Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States
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Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States

Remote sensing (Basel, Switzerland), 2016-11, Vol.8 (11), p.904-904 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8110904

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14
Assimilation of Sentinel-2 Data into a Snowpack Model in the High Atlas of Morocco
Assimilation of Sentinel-2 Data into a Snowpack Model in the High Atlas of Morocco
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Assimilation of Sentinel-2 Data into a Snowpack Model in the High Atlas of Morocco

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.1982 [Peer Reviewed Journal]

2018. This work is licensed 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. ;Attribution ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10121982

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15
Global Data Gaps in Our Knowledge of the Terrestrial Cryosphere
Global Data Gaps in Our Knowledge of the Terrestrial Cryosphere
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Global Data Gaps in Our Knowledge of the Terrestrial Cryosphere

Frontiers in climate, 2021-06, Vol.3 [Peer Reviewed Journal]

ISSN: 2624-9553 ;EISSN: 2624-9553 ;DOI: 10.3389/fclim.2021.689823

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16
Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks
Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks
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Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (20), p.3422 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12203422

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17
On the use of a snow aridity index to predict remotely sensed forest productivity in the presence of bark beetle disturbance
On the use of a snow aridity index to predict remotely sensed forest productivity in the presence of bark beetle disturbance
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On the use of a snow aridity index to predict remotely sensed forest productivity in the presence of bark beetle disturbance

Water resources research, 2017-06, Vol.53 (6), p.4891-4906 [Peer Reviewed Journal]

2017. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2016WR019887

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18
Snow accumulation following forest disturbance
Snow accumulation following forest disturbance
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Snow accumulation following forest disturbance

Ecohydrology, 2012-05, Vol.5 (3), p.279-285 [Peer Reviewed Journal]

Copyright © 2011 John Wiley & Sons, Ltd. ;ISSN: 1936-0584 ;EISSN: 1936-0592 ;DOI: 10.1002/eco.212

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19
Development and testing of a snow interceptometer to quantify canopy water storage and interception processes in the rain/snow transition zone of the North Cascades, Washington, USA
Development and testing of a snow interceptometer to quantify canopy water storage and interception processes in the rain/snow transition zone of the North Cascades, Washington, USA
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Development and testing of a snow interceptometer to quantify canopy water storage and interception processes in the rain/snow transition zone of the North Cascades, Washington, USA

Water resources research, 2013-06, Vol.49 (6), p.3243-3256 [Peer Reviewed Journal]

2013. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/wrcr.20271

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20
A Hydrograph-Based Approach to Improve Satellite-Derived Snow Water Equivalent at the Watershed Scale
A Hydrograph-Based Approach to Improve Satellite-Derived Snow Water Equivalent at the Watershed Scale
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A Hydrograph-Based Approach to Improve Satellite-Derived Snow Water Equivalent at the Watershed Scale

Water (Basel), 2022-11, Vol.14 (21), p.3575 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w14213575

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