TY  - GEN
A1  - Smith, Taylor
A1  - Bookhagen, Bodo
T1  - Using passive microwave data to understand spatio-temporal trends and dynamics in snow-water storage in High Mountain Asia
T2  - active and passive microwave remote sensing for environmental monitoring II
N2  - High Mountain Asia provides water for more than a billion downstream users. Many catchments receive the majority of their yearly water budget in the form of snow - the vast majority of which is not monitored by sparse weather networks. We leverage passive microwave data from the SSMI series of satellites (SSMI, SSMI/S, 1987-2016), reprocessed to 3.125 km resolution, to examine trends in the volume and spatial distribution of snow-water equivalent (SWE) in the Indus Basin. We find that the majority of the Indus has seen an increase in snow-water storage. There exists a strong elevation-trend relationship, where high-elevation zones have more positive SWE trends. Negative trends are confined to the Himalayan foreland and deeply-incised valleys which run into the Upper Indus. This implies a temperature-dependent cutoff below which precipitation increases are not translated into increased SWE. Earlier snowmelt or a higher percentage of liquid precipitation could both explain this cutoff.(1) Earlier work 2 found a negative snow-water storage trend for the entire Indus catchment over the time period 1987-2009 (-4 x 10(-3) mm/yr). In this study based on an additional seven years of data, the average trend reverses to 1.4 x 10(-3). This implies that the decade since the mid-2000s was likely wetter, and positively impacted long-term SWE trends. This conclusion is supported by an analysis of snowmelt onset and end dates which found that while long-term trends are negative, more recent (since 2005) trends are positive (moving later in the year).(3)
KW  - Passive Microwave
KW  - Snow
KW  - Climate Change
KW  - High Mountain Asia
Y1  - 2018
SN  - 978-1-5106-2160-2
U6  - https://doi.org/10.1117/12.2323827
SN  - 0277-786X
SN  - 1996-756X
VL  - 10788
PB  - SPIE-INT Soc Optical Engineering
CY  - Bellingham
ER  - 
TY  - JOUR
A1  - Jones, Benjamin M.
A1  - Arp, Christopher D.
A1  - Whitman, Matthew S.
A1  - Nigro, Debora
A1  - Nitze, Ingmar
A1  - Beaver, John
A1  - Gadeke, Anne
A1  - Zuck, Callie
A1  - Liljedahl, Anna
A1  - Daanen, Ronald
A1  - Torvinen, Eric
A1  - Fritz, Stacey
A1  - Grosse, Guido
T1  - A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes
JF  - AMBIO
N2  - Lakes are dominant and diverse landscape features in the Arctic, but conventional land cover classification schemes typically map them as a single uniform class. Here, we present a detailed lake-centric geospatial database for an Arctic watershed in northern Alaska. We developed a GIS dataset consisting of 4362 lakes that provides information on lake morphometry, hydrologic connectivity, surface area dynamics, surrounding terrestrial ecotypes, and other important conditions describing Arctic lakes. Analyzing the geospatial database relative to fish and bird survey data shows relations to lake depth and hydrologic connectivity, which are being used to guide research and aid in the management of aquatic resources in the National Petroleum Reserve in Alaska. Further development of similar geospatial databases is needed to better understand and plan for the impacts of ongoing climate and land-use changes occurring across lake-rich landscapes in the Arctic.
KW  - Arctic
KW  - Climate Change
KW  - GIS
KW  - Lakes
KW  - Land-use change
KW  - Watershed
Y1  - 2017
U6  - https://doi.org/10.1007/s13280-017-0915-9
SN  - 0044-7447
SN  - 1654-7209
VL  - 46
SP  - 769
EP  - 786
PB  - Springer
CY  - Dordrecht
ER  -