The Tribal Climate Change Guide is part of the Pacific Northwest Tribal Climate Change Project (TCCP). The TCCP is part of the L.I.G.H.T. Foundation (LF), is an independent, Indigenous-led, conservation 501(c)(3) nonprofit established on the Colville Indian Reservation in the traditional territory of the Nespelem Tribe in present-day north central Washington State. LF supports the restoration and cultivation of native Plant and Pollinator Relatives and the culturally respectful conservation of habitats and ecosystems which are climate resilient and adaptive. For more information about LF, visit: https://thepnwlf.org/. For more information about the Tribal Climate Change Project, visit: https://tribalclimate.uoregon.edu/. If you would like to add information to this guide, please email kathy.lynn.or@gmail.com.

 

Projections of 21st century climate of the Columbia River Basin

Type
Literature
Publication
Rupp, D.E., Abatzoglou, J.T. and Mote, P.W., 2016. Projections of 21st century climate of the Columbia River Basin. Climate Dynamics, pp.1-17.
Year Published
2016
Organization
NGO
Description

Simulations from 35 global climate models (GCMs) in the Coupled Model Intercomparison Project Phase 5 provide projections of 21st century climate in the Columbia River Basin under scenarios of anthropogenic activity given by Representative Concentration Pathways (RCP4.5 and RCP8.5). The multi-model ensemble 30-year mean annual temperature increases by 2.8 °C (5.0 °C) by late 21st century under RCP4.5 (RCP8.5) over the 1979–1990 baseline, with 18% (24%) more warming in summer. By late 21st century, annual precipitation increases by 5% (8%), with an 8% (14%) winter increase and a 4% (10%) summer decrease, but because some models project changes of opposite sign, confidence in these sign changes is lower than those for temperature. Four questions about temperature and precipitation changes were addressed: (1) How and why do climate projections vary seasonally? (2) Is interannual variability in seasonal temperature and precipitation projected to change? (3) What explains the large inter-model spread in the projections? (4) Do projected changes in climate depend on model skill? Changes in precipitation and temperature vary seasonally as a result of changes in large-scale circulation and regional surface energy budget, respectively. Interannual temperature variability decreases slightly during the cool seasons and increases in summer, while interannual precipitation variability increases in all seasons. The magnitude of regional warming is linked to models’ global climate sensitivity, whereas internal variability dominates the inter-model spread of precipitation changes. Lastly, GCMs that better reproduce historical climate tend to project greater warming and larger precipitation increases, though these results depend on the evaluation method.