Displaying 1 - 10 of 17
Operations
Hulley, Glynn; Shivers, Sarah; Wetherley, Erin; Cudd, Robert. 2019. New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California. [Remote Sensing] . 11(18): 2136 DOI: https://doi.org/10.3390/rs11182136
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Ju, Yang; Lindbergh, Sarah; He, Yiyi; Radke, John D. 2019. Climate-related uncertainties in urban exposure to sea level rise and storm surge flooding: a multi-temporal and multi-scenario analysis. [Cities] . 92: 230-246 DOI: https://doi.org/10.1016/j.cities.2019.04.002
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Kasei, Raymond Abudu; Kalanda-Joshua, Miriam Dalitso; Benefor, Tutu. 2019. Rapid urbanisation and implications for indigenous knowledge in early warning on flood risk in African cities. [Journal of the British Academy] . 7(Supplementary Issue 2): 183-214 DOI: https://doi.org/10.5871/jba/007s2.183
SEDAC Data Collection(s):
ipcc
(Journal Article)
export
Myer, Mark H.; Johnston, John M. 2019. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. [Science of The Total Environment] . 650: 2818-2829 DOI: https://doi.org/10.1016/j.scitotenv.2018.09.397
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Potvin, Corey K.; Broyles, Chris; Skinner, Patrick S.; Brooks, Harold E.; Rasmussen, Erik. 2019. A Bayesian hierarchical modeling framework for correcting reporting bias in the U.S. tornado database. [Weather and Forecasting] . 34(1): 15-30 DOI: https://doi.org/10.1175/waf-d-18-0137.1
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Zou, Yufei; O’Neill, Susan M.; Larkin, Narasimhan K.; Alvarado, Ernesto C.; Solomon, Robert; Mass, Clifford; Liu, Yang; Odman, M. Talat; Shen, Huizhong. 2019. Machine learning-based integration of high-resolution wildfire smoke simulations and observations for regional health impact assessment. [International Journal of Environmental Research and Public Health] . 16(12): 2137 DOI: https://doi.org/10.3390/ijerph16122137
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Dupuis, Johann; Knoepfel, Peter. 2013. The adaptation policy paradox: the implementation deficit of policies framed as climate change adaptation. [Ecology and Society] . 18(4) DOI: https://doi.org/10.5751/es-05965-180431
SEDAC Data Collection(s):
ipcc
(Journal Article)
export
Gils, Hans Christian; Cofala, Janusz; Wagner, Fabian; Schöpp, Wolfgang. 2013. GIS-based assessment of the district heating potential in the USA. [Energy] . 58: 318-329 DOI: https://doi.org/10.1016/j.energy.2013.06.028
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Li, Chaofan; Zhang, Chi; Luo, Geping; Chen, Xi. 2013. Modeling the carbon dynamics of the dryland ecosystems in Xinjiang, China from 1981 to 2007—The spatiotemporal patterns and climate controls. [Ecological Modelling] . 267: 148-157 DOI: https://doi.org/10.1016/j.ecolmodel.2013.06.007
SEDAC Data Collection(s):
ipcc
(Journal Article)
export
Ma, Xiaoguang; Battersby, Sarah E.; Bell, Bethany A.; Hibbert, James D.; Barnes, Timothy L.; Liese, Angela D. 2013. Variation in low food access areas due to data source inaccuracies. [Applied Geography] . 45: 131-137 DOI: https://doi.org/10.1016/j.apgeog.2013.08.014
SEDAC Data Collection(s):
usgrid
(Journal Article)
export

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