Zobrazeno 1 - 5
of 5
pro vyhledávání: '"David C Lafferty"'
Autor:
David C. Lafferty, Ryan L. Sriver
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Efforts to diagnose the risks of a changing climate often rely on downscaled and bias-corrected climate information, making it important to understand the uncertainties and potential biases of this approach. Here, we perform a variance decom
Externí odkaz:
https://doaj.org/article/e22c5d62632b45fca7a9615199756eb8
Autor:
David C. Lafferty, Ryan L. Sriver
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/2920875347c0488e90877d308fa4d987
Autor:
David C. Lafferty, Ryan L. Sriver, Iman Haqiqi, Thomas W. Hertel, Klaus Keller, Robert E. Nicholas
Publikováno v:
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-10 (2021)
Historical annual maize yields in the U.S. are overestimated by CMIP5 models and underestimated by bias-corrected and downscaled models due to differences in temperature and precipitation hindcasts, according to a multi-model ensemble comparison.
Externí odkaz:
https://doaj.org/article/b44eae854a2a40f7af7844b31b055a33
Autor:
Vivek Srikrishnan, David C. Lafferty, Tony E. Wong, Jonathan R. Lamontagne, Julianne D. Quinn, Sanjib Sharma, Nusrat J. Molla, Jonathan D. Herman, Ryan L. Sriver, Jennifer F. Morris, Ben Seiyon Lee
Publikováno v:
Earth's Future, Vol 10, Iss 8, Pp n/a-n/a (2022)
Abstract Simulation models of multi‐sector systems are increasingly used to understand societal resilience to climate and economic shocks and change. However, multi‐sector systems are also subject to numerous uncertainties that prevent the direct
Externí odkaz:
https://doaj.org/article/42bb6c2d10b541bea2e5f7d750710654
Autor:
David C Lafferty, Ryan L. Sriver
Efforts to diagnose the risks of a changing climate often rely on downscaled and bias-corrected climate information, making it important to understand the uncertainties and potential biases of this approach. Here, we perform a variance decomposition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc2741eeada2d99f460dd5f3c4e7a75
https://doi.org/10.22541/essoar.168286894.44910061/v1
https://doi.org/10.22541/essoar.168286894.44910061/v1
