Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Christina Bandaragoda"'
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105578- (2020)
Air temperature, ground temperature and relative humidity data were collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 to 1800 m above sea level. Data were collected by anchoring sensors from trees above win
Externí odkaz:
https://doaj.org/article/48bff975eaa0448c9b36bafd90a9d8e0
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 6, Pp n/a-n/a (2020)
Abstract A mountain watershed network model is presented for use in decadal to centurial estimation of source‐to‐sink sediment dynamics. The model requires limited input parameters and can be effectively applied over spatial scales relevant to ma
Externí odkaz:
https://doaj.org/article/9c3ed8bec8a4469b99876e862d545530
Autor:
Jeffrey Keck, Erkan Istanbulluoglu, Jessica Lundquist, Christina Bandaragoda, Kristin Jaeger, Guillaume Mauger, Alex Horner‐Devine
Publikováno v:
Water Resources Research. 58
Autor:
R. L. Strauch, Jimmy Phuong, Erkan Istanbulluoglu, Claire Beveridge, Sean D. Mooney, Landung Setiawan, Christina Bandaragoda
Publikováno v:
Environmental Modelling & Software. 116:119-130
Spatially-distributed time-series data support a range of environmental modeling and data research efforts. A critical first step to any such effort is acquiring interpolated hydrometeorological data. Standardized tools to facilitate this process int
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 6, Pp n/a-n/a (2020)
A mountain watershed network model is presented for use in decadal to centurial estimation of source‐to‐sink sediment dynamics. The model requires limited input parameters and can be effectively applied over spatial scales relevant to management
Autor:
Shefali Haldar, Patricia Ordóñez, Christina Bandaragoda, Sean D. Mooney, Andrea L. Hartzler, Jimmy Phuong, Kari A. Stephens
Publikováno v:
J Am Med Inform Assoc
Objective Information gaps that accompany hurricanes and floods limit researchers’ ability to determine the impact of disasters on population health. Defining key use cases for sharing complex disaster data with research communities and facilitator
Autor:
Gregory E. Tucker, R. L. Strauch, Christina Bandaragoda, Nicole M. Gasparini, Sai Siddhartha Nudurupati, Erkan Istanbulluoglu
Publikováno v:
Earth Surface Dynamics, Vol 6, Pp 49-75 (2018)
We develop a hydroclimatological approach to the modeling of regional shallow landslide initiation that integrates spatial and temporal dimensions of parameter uncertainty to estimate an annual probability of landslide initiation based on Monte Carlo
Publikováno v:
Eos. 100
Recent hurricane seasons left many communities wondering if this is this the new normal. Digital infrastructure designed for citizen data collection may help these communities increase resilience.
Autor:
Daniel P. Ames, Christina Bandaragoda, Jeffery S. Horsburgh, Shaowen Wang, Martyn P. Clark, Ray Idaszak, David G. Tarboton, Alva L. Couch, Anthony M. Castronova, Hong Yi, Jonathan L. Goodall, Pabitra Dash
HydroShare is a domain specific data and model repository operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) to advance hydrologic science by enablin...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2d68623faeb2578cb1bc9cd4228a6b
https://doi.org/10.1002/essoar.10500174.1
https://doi.org/10.1002/essoar.10500174.1
Autor:
Jonathan L. Goodall, David G. Tarboton, Jeffery S. Horsburgh, Richard P. Hooper, Daniel P. Ames, Martyn P. Clark, Anthony M. Castronova, Zhiyu Li, Christina Bandaragoda, Martin Seul, Shaowen Wang, Jeffrey M. Sadler, Andrew Bennett, Young-Don Choi, Bart Nijssen, Hong Yi
Publikováno v:
Civil and Environmental Engineering Faculty Publications
Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments alon