Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Anne W. Nolin"'
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Methods that combine in-situ measurements, statistical methods, and model simulations with remotely sensed data provide a pathway for improving the robustness of surface flux products. For this research, we acquired eddy-covariance fluxes along a fiv
Externí odkaz:
https://doaj.org/article/b724a8084df2429bb38fca8670d8cb35
Autor:
Keith S. Jennings, Monica M. Arienzo, Meghan Collins, Benjamin J. Hatchett, Anne W. Nolin, Graeme Aggett
Publikováno v:
Earth and Space Science, Vol 10, Iss 3, Pp n/a-n/a (2023)
Abstract To increase the number of direct observations of rain and snow, we started a citizen science project that crowdsources precipitation phase reports from volunteers using a smartphone app. We focused on the Lake Tahoe region of California and
Externí odkaz:
https://doaj.org/article/64fd411a34274a049c4ed2abe91d5c8e
Autor:
Benjamin J. Hatchett, Arielle L. Koshkin, Kristen Guirguis, Karl Rittger, Anne W. Nolin, Anne Heggli, Alan M. Rhoades, Amy E. East, Erica R. Siirila‐Woodburn, W. Tyler Brandt, Alexander Gershunov, Kayden Haleakala
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 3, Pp n/a-n/a (2023)
Abstract Increasing wildfire and declining snowpacks in mountain regions threaten water availability. We combine satellite‐based fire detections with snow seasonality classifications to examine fire activity in California's seasonal and ephemeral s
Externí odkaz:
https://doaj.org/article/91c3c00efefa4c9eb46d6dfce86f34a2
Publikováno v:
Frontiers in Water, Vol 4 (2022)
Mountain snowpacks provide 53–78% of water used for irrigation, municipalities, and industrial consumption in the western United States. Snowpacks serve as natural reservoirs during the winter months and play an essential role in water storage for
Externí odkaz:
https://doaj.org/article/98f0e874d4b64d67b39f2cc8e1b3a594
Autor:
Ehsan Mosadegh, Anne W. Nolin
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4979 (2022)
Sea ice roughness can serve as a proxy for other sea ice characteristics such as ice thickness and ice age. Arctic-wide maps that represent spatial patterns of sea ice roughness can be used to better characterize spatial patterns of ice convergence a
Externí odkaz:
https://doaj.org/article/197b2d35e7134ecca93ccdede96c90b3
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3341 (2020)
Snow is a critical component of the climate system, provides fresh water for millions of people globally, and affects forest and wildlife ecology. Snowy regions are typically data sparse, especially in mountain environments. Remotely-sensed snow cove
Externí odkaz:
https://doaj.org/article/8a16a5f867674e99bff4155d4aea3deb
Autor:
Jessica P. R. Thorn, Julia A. Klein, Cara Steger, Kelly A. Hopping, Claudia Capitani, Catherine M. Tucker, Anne W. Nolin, Robin S. Reid, Roman Seidl, Vishwas S. Chitale, Robert Marchant
Publikováno v:
Ecology and Society, Vol 25, Iss 3, p 6 (2020)
Mountain social-ecological systems (MtSES) provide crucial ecosystem services to over half of humanity. However, populations living in these highly varied regions are now confronted by global change. It is critical that they are able to anticipate ch
Externí odkaz:
https://doaj.org/article/47878944bf9a48e886acd18c93930e4a
Autor:
Anne W. Nolin, Eugene Mar
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 50 (2018)
Sea ice surface roughness affects ice-atmosphere interactions, serves as an indicator of ice age, shows patterns of ice convergence and divergence, affects the spatial extent of summer meltponds, and affects ice albedo. We have developed a method for
Externí odkaz:
https://doaj.org/article/c309bb1b591643c2a7736b05cfd42647
Publikováno v:
Remote Sensing, Vol 10, Iss 8, p 1276 (2018)
We tested the efficacy and skill of SnowCloud, a prototype web-based, cloud-computing framework for snow mapping and hydrologic modeling. SnowCloud is the overarching framework that functions within the Google Earth Engine cloud-computing environment
Externí odkaz:
https://doaj.org/article/d3bc4aa52bcb4256873e6f0522856438
Autor:
David Verbyla, Troy Hegel, Anne W. Nolin, Madelon van de Kerk, Thomas A. Kurkowski, Laura R. Prugh
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1157 (2017)
The lowest elevation of spring snow (“snowline”) is an important factor influencing recruitment and survival of wildlife in alpine areas. In this study, we assessed the spatial and temporal variability of alpine spring snowline across major Dall
Externí odkaz:
https://doaj.org/article/cea26f6d5e5c49f98db2ae94a60d81ab