Dominant Sources of Uncertainty for Downscaled Climate: A Military Installation Perspective DOI Creative Commons
Taereem Kim, Gabriele Villarini, J. Done

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(12)

Published: June 21, 2024

Abstract While the Department of Defense (DoD) infrastructure is no stranger to extremes, recent events have been unprecedented, with climate change acting as a growing risk multiplier. To assess level exposure DoD installations extreme weather and events, site‐specific information needed. One way bridge scale gap between outputs from existing global models (GCMs) sites downscaling. This makes more relevant for impact assessment at installation facility scale. However, downscaling GCMs beset by myriad challenges sources uncertainty, methods were not designed specific planning design needs in mind. Here, we evaluate state‐of‐the‐science dynamical statistical bias correction variables (i.e., temperature precipitation) daily We also combine approaches novel ways optimize computational efficiency reduce uncertainty. Furthermore, examine sensitivity downscaled choice reference data quantify relative uncertainty related approach, data, other factors across aggregation scales. Results show that empirical quantile mapping (EQM), downscaling, consistently performs well has less data. Moreover, hybrid leverages EQM improves performance Our findings highlight dominates uncertainties while their role muted precipitation but still non‐negligible.

Language: Английский

Assessment of CMIP6 models performance in simulation precipitation and temperature over Iran and surrounding regions DOI
Mohammad Javad Zareian,

Hossein Dehban,

Alireza Gohari

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 4, 2024

Language: Английский

Citations

3
Buzzing towards Resilience: Investigating the Spatial Alignment of the Desert Pallid Bee, Centris pallida, and Its Host Plants in Response to Climate Change DOI Creative Commons
Terese Maxine P. Cruz, Stephen L. Buchmann, Kathleen L. Prudic

et al.

Insects, Journal Year: 2024, Volume and Issue: 15(10), P. 793 - 793

Published: Oct. 11, 2024

Wild bees are vital for the pollination of native plants and crops, providing essential ecosystem services. Climate change is known to impact biodiversity species distributions, but insects adapted desert ecosystems may exhibit unique physiological, behavioral, evolutionary responses. The pallid bee (

Language: Английский

Citations

1
Dominant Sources of Uncertainty for Downscaled Climate: A Military Installation Perspective DOI Creative Commons
Taereem Kim, Gabriele Villarini, J. Done

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(12)

Published: June 21, 2024

Abstract While the Department of Defense (DoD) infrastructure is no stranger to extremes, recent events have been unprecedented, with climate change acting as a growing risk multiplier. To assess level exposure DoD installations extreme weather and events, site‐specific information needed. One way bridge scale gap between outputs from existing global models (GCMs) sites downscaling. This makes more relevant for impact assessment at installation facility scale. However, downscaling GCMs beset by myriad challenges sources uncertainty, methods were not designed specific planning design needs in mind. Here, we evaluate state‐of‐the‐science dynamical statistical bias correction variables (i.e., temperature precipitation) daily We also combine approaches novel ways optimize computational efficiency reduce uncertainty. Furthermore, examine sensitivity downscaled choice reference data quantify relative uncertainty related approach, data, other factors across aggregation scales. Results show that empirical quantile mapping (EQM), downscaling, consistently performs well has less data. Moreover, hybrid leverages EQM improves performance Our findings highlight dominates uncertainties while their role muted precipitation but still non‐negligible.

Language: Английский

Citations

0