caa a22 4500 469037385 CHVBK 20180323132759.0 cr unu---uuuuu 170328e19920701xx s 000 0 eng 10.1007/BF00139726 doi (NATIONALLICENCE)springer-10.1007/BF00139726 Predicting the impacts of global warming on wildland fire [Elektronische Daten] [Margaret Torn, Jeremy Fried] Simulations of impacts of a double-CO2 climate with the Changed Climate Fire Modeling System in Northern California consistently projected increases in area burned and in the frequency of escaped fires compared with simulations of the present climate. However, the magnitude of those increases was strongly influenced by vegetation type, choice of atmospheric general circulation model (GCM) scenario, and choice of climatic forcing variables. The greatest projected increase in fire severity occurred in grasslands, using the Princeton Geophysical Fluid Dynamics Laboratory GCM, with wind speed, temperature, humidity and precipitation as driving variables. Kluwer Academic Publishers, 1992 Torn Margaret Energy and Resources Group, University of California, 94720, Berkeley, CA, USA aut Fried Jeremy Department of Forestry and Resource Management, University of California, 94720, Berkeley, CA, USA aut Climatic Change Kluwer Academic Publishers 21/3(1992-07-01), 257-274 0165-0009 21:3<257 1992 21 10584 https://doi.org/10.1007/BF00139726 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00139726 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Torn Margaret Energy and Resources Group, University of California, 94720, Berkeley, CA, USA aut NATIONALLICENCE 700 1- Fried Jeremy Department of Forestry and Resource Management, University of California, 94720, Berkeley, CA, USA aut NATIONALLICENCE 773 0- Climatic Change Kluwer Academic Publishers 21/3(1992-07-01), 257-274 0165-0009 21:3<257 1992 21 10584 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer