Using Satellite Estimates of Precipitation for Fire Danger Rating

Field, Robert D.

doi:10.1007/978-3-030-35798-6_33

Robert D. Field¹¹

Part of the book series: Advances in Global Change Research ((AGLO,volume 69))

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2 Citations

Abstract

Fire danger rating systems are cornerstones of forest and land fire management. Different systems are used in different fire prone regions of the world, but all require daily inputs of the weather conditions most important in influencing fuel moisture and potential fire behavior. Because these systems typically have a memory, inaccurate weather data can lead to persistently inaccurate fire danger information. This is particularly the case for precipitation, due to its event-driven nature and complex spatial patterns. This chapter describes different approaches to estimating precipitation for the purposes of fire danger rating, focusing on using satellite precipitation estimates for calculations of the Fire Weather Index System, the most widely used fire danger rating system in the world. Comparisons are made between Fire Weather Index calculations for severe fire events in Canada, Chile, Greece and Indonesia, to illustrate the potential benefits of satellite precipitation for fire management in four very different fire environments.

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References

Abatzoglou, J. T., Williams, A. P., Boschetti, L., Zubkova, M., & Kolden, C. A. (2018). Global patterns of interannual climate-fire relationships. Global Change Biology, 24, 5164–5175. https://doi.org/10.1111/gcb.14405.
Article Google Scholar
Abbott, K. N., Leblon, B., Staples, G. C., Maclean, D. A., & Alexander, M. E. (2007). Fire danger monitoring using RADARSAT-1 over northern boreal forests. International Journal of Remote Sensing, 28, 1317–1338. https://doi.org/10.1080/01431160600904956.
Article Google Scholar
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R. R., Xie, P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., Gruber, A., Susskind, J., Arkin, P. A., & Nelkin, E. (2003). The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). Journal of Hydrometeorology, 4, 1147–1167. https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
Article Google Scholar
Aguado, I., Chuvieco, E., Martin, P., & Salas, J. (2003). Assessment of forest fire danger conditions in southern Spain from NOAA images and meteorological indices. International Journal of Remote Sensing, 24, 1653–1668. https://doi.org/10.1080/01431160210144688.
Article Google Scholar
Alexander, M. E., & W. J. de Groot (1988). Fire behavior in jack pine stands as related to the Canadian Forest Fire Weather Index (FWI) System. Canadian Forestry Service, Northwest Region. Available at https://cfs.nrcan.gc.ca/publications?id=24310, last accessed 28 Nov. 2018.
Amiro, B. D., Todd, J. B., Wotton, B. M., Logan, K. A., Flannigan, M. D., Stocks, B. J., Mason, J. A., Martell, D. L., & Hirsch, K. G. (2001). Direct carbon emissions from Canadian forest fires, 1959-1999. Canadian Journal of Forest Research, 31, 512–525. https://doi.org/10.1139/x00-197.
Article Google Scholar
Anonymous. (2017). Spreading like wildfire. Nature Climate Change, 7, 755. https://doi.org/10.1038/nclimate3432.
Article Google Scholar
Athanasopoulou, E., Rieger, D., Walter, C., Vogel, H., Karali, A., Hatzaki, M., Gerasopoulos, E., Vogel, B., Giannakopoulos, C., Gratsea, M., & Roussos, A. (2014). Fire risk, atmospheric chemistry and radiative forcing assessment of wildfires in eastern Mediterranean. Atmospheric Environment, 95, 113–125. https://doi.org/10.1016/j.atmosenv.2014.05.077.
Article Google Scholar
Beck, H. E., van Dijk, A. I. J. M., Levizzani, V., Schellekens, J., Miralles, D. G., Martens, B., & de Roo, A. (2017). MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrology and Earth System Sciences, 21, 589–615. https://doi.org/10.5194/hess-21-589-2017.
Article Google Scholar
Bedia, J., Herrera, S., Gutierrez, J. M., Zavala, G., Urbieta, I. R., & Moreno, J. M. (2012). Sensitivity of fire weather index to different reanalysis products in the Iberian Peninsula. Natural Hazards and Earth System Sciences, 12, 699–708. https://doi.org/10.5194/nhess-12-699-2012.
Article Google Scholar
Bedia, J., Herrera, S., Gutierrez, J. M., Benali, A., Brands, S., Mota, B., & Moreno, J. M. (2015). Global patterns in the sensitivity of burned area to fire-weather: Implications for climate change. Agricultural and Forest Meteorology, 214, 369–379. https://doi.org/10.1016/j.agrformet.2015.09.002.
Article Google Scholar
Bourgeau-Chavez, L. L., Kasischke, E. S., & Rutherford, M. D. (1999). Evaluation of ERS SAR data for prediction of fire danger in a boreal region. International Journal of Wildland Fire, 9, 183–194. https://doi.org/10.1071/WF00009.
Article Google Scholar
Bourgeau-Chavez, L. L., Garwood, G., Riordan, K., Cella, B., Alden, S., Kwart, M., & Murphy, K. (2007). Improving the prediction of wildfire potential in boreal Alaska with satellite imaging radar. Polar Record, 43, 321–330. https://doi.org/10.1017/S0032247407006535.
Article Google Scholar
Bourgeau-Chavez, L. L., Leblon, B., Charbonneau, F., & Buckley, J. R. (2013). Evaluation of polarimetric Radarsat-2 SAR data for development of soil moisture retrieval algorithms over a chronosequence of black spruce boreal forests. Remote Sensing of Environment, 132, 71–85. https://doi.org/10.1016/j.rse.2013.01.006.
Article Google Scholar
Bowman, D., Williamson, G. J., Abatzoglou, J. T., Kolden, C. A., Cochrane, M. A., & Smith, A. M. S. (2017). Human exposure and sensitivity to globally extreme wildfire events. Nature Ecology & Evolution, 1. https://doi.org/10.1038/s41559-016-0058.
Bowman, D. M. J. S., Moreira-Muñoz, A., Kolden, C. A., Chávez, R. O., Muñoz, A. A., Salinas, F., González-Reyes, Á., Rocco, R., de la Barrera, F., Williamson, G. J., Borchers, N., Cifuentes, L. A., Abatzoglou, J. T., & Johnston, F. H. (2018). Human-environmental drivers and impacts of the globally extreme 2017 Chilean fires. Ambio. https://doi.org/10.1007/s13280-018-1084-1.
Burki, T. K. (2017). The pressing problem of Indonesia’s forest fires. The Lancet Respiratory Medicine, 5, 685–686. https://doi.org/10.1016/S2213-2600(17)30301-6.
Article Google Scholar
Cantin, A. (2016). Fire weather index system and fire behaviour prediction system calculations. Comprehensive R Archive Network. Available from https://cran.r-project.org/web/packages/cffdrs/index.html, last accessed 28 Nov. 2018.
Carlson, J. D., & Burgan, R. E. (2003). Review of users’ needs in operational fire danger estimation: The Oklahoma example. International Journal of Remote Sensing, 24, 1601–1620. https://doi.org/10.1080/01431160210144651.
Article Google Scholar
CCFM (2018). National Forestry Database. National forestry database, Canadian Council of Forest Forest Ministers. Available at http://nfdp.ccfm.org/en/data/fires.php, last accessed 28 Nov. 2018.
Chen, Y., Morton, D. C., Jin, Y., Collatz, G. J., Kasibhatla, P. S., van der Werf, G. R., DeFries, R. S., & Randerson, J. T. (2013). Long-term trends and interannual variability of forest, savanna and agricultural fires in South America. Carbon Management, 4, 617–638. https://doi.org/10.4155/cmt.13.61.
Article Google Scholar
Chowdhury, E. H., & Hassan, Q. K. (2015). Operational perspective of remote sensing-based forest fire danger forecasting systems. ISPRS Journal of Photogrammetry and Remote Sensing, 104, 224–236. https://doi.org/10.1016/j.isprsjprs.2014.03.011.
Article Google Scholar
de Groot, W. J., & Flannigan, M. D. (2014). Climate change and early warning systems for wildland fire. In Z. Zommers & A. Singh (Eds.), Reducing disaster: Early warning systems for climate change (pp. 127–151). Springer. https://doi.org/10.1007/978-94-017-8598-3_7.
de Groot, W. J., Field, R. D., Brady, M. A., Roswintiarti, O., & Mohamad, M. (2007). Development of the Indonesian and Malaysian fire danger rating systems. Mitigation and Adaptation Strategies for Global Change, 12, 165–180. https://doi.org/10.1007/s11027-006-9043-8.
Article Google Scholar
de Groot, W. J., Wotton, B. M., & Flannigan, M. D. (2015). Wildland fire danger rating and early warning systems. In J. F. Shroder & D. Paton (Eds.), Wildfire hazards, risks and disasters (pp. 207–228). Amsterdam: Elsevier. ISBN: 9780124096011.
Chapter Google Scholar
Di Giuseppe, F., Remy, S., Pappenberger, F., & Wetterhall, F. (2017). Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index. Journal of Applied Meteorology and Climatology, 56, 2789–2799. https://doi.org/10.1175/jamc-d-16-0405.1.
Article Google Scholar
Di Giuseppe, F., Remy, S., Pappenberger, F., & Wetterhall, F. (2018). Using the Fire Weather Index (FWI) to improve the estimation of fire emissions from fire radiative power (FRP) observations. Atmospheric Chemistry and Physics, 18, 5359–5370. https://doi.org/10.5194/acp-18-5359-2018.
Article Google Scholar
Dimitrakopoulos, A. P., Bemmerzouk, A. M., & Mitsopoulos, I. D. (2011). Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment. Meteorological Applications, 18, 83–93. https://doi.org/10.1002/met.214.
Article Google Scholar
Dowdy, A. J., Mills, G. A., Finkele, K., & de Groot, W. J. (2009). Australian fire weather as represented by the McArthur Forest Fire Danger Index and the Canadian Forest Fire Weather Index. CAWCR Technical Report, 10, 84 pp. Available at http://www.cawcr.gov.au/technical-reports/CTR_010.pdf, last accessed 28 Nov. 2018.
Fang, L., Yang, J., Zu, J., Li, G., & Zhang, J. (2015). Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape. Forest Ecology and Management, 356, 2–12. https://doi.org/10.1016/j.foreco.2015.01.011.
Article Google Scholar
FAO. (2007). Fire management – Global Assessment 2006. FAO Forestry Paper, 151, 135 pp. Available at http://www.fao.org/docrep/009/a0969e/a0969e00.htm, last accessed 28 Nov. 2018.
Field, R. D., & Shen, S. S. P. (2008). Predictability of carbon emissions from biomass burning in Indonesia from 1997 to 2006. Journal of Geophysical Research, 113, 17. https://doi.org/10.1029/2008JG000694.
Article Google Scholar
Field, R. D., Spessa, A. C., Aziz, N. A., Camia, A., Cantin, A., Carr, R., de Groot, W. J., Dowdy, A. J., Flannigan, M. D., Manomaiphiboon, K., Pappenberger, F., Tanpipat, V., & Wang, X. (2015). Development of a global fire weather database. Natural Hazards and Earth System Sciences, 15, 1407–1423. https://doi.org/10.5194/nhess-15-1407-2015.
Article Google Scholar
Field, R. D., van der Werf, G. R., Fanin, T., Fetzer, E. J., Fuller, R., Jethva, H., Levy, R., Livesey, N. J., Luo, M., Torres, O., & Worden, H. M. (2016). Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought. PNAS, 113, 9204–9209. https://doi.org/10.1073/pnas.1524888113.
Article Google Scholar
Fiorucci, P., Gaetani, F., Lanorte, A., & Lasaponara, R. (2007). Dynamic fire danger mapping from satellite imagery and meteorological forecast data. Earth Interactions, 11, 7. https://doi.org/10.1175/EI199.1.
Flannigan, M. D., & Wotton, B. M. (1989). A study of interpolation methods for forest fire danger rating in Canada. Canadian Journal of Forest Research, 19, 1059–1066. https://doi.org/10.1139/x89-161.
Article Google Scholar
Flannigan, M. D., Wotton, B. M., & Ziga, S. (1998). A study on the interpolation of fire danger using radar precipitation estimates. International Journal of Wildland Fire, 8, 217–225. https://doi.org/10.1071/WF9980217.
Article Google Scholar
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S. D., Sienkiewicz, M., & Zhao, B. (2017). The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). Journal of Climate, 30, 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1.
Article Google Scholar
Gould, J. S., Patriquin, M. N., Wang, S., McFarlane, B. L., & Wotton, B. M. (2013). Economic evaluation of research to improve the Canadian forest fire danger rating system. Forestry, 86, 317–329. https://doi.org/10.1093/forestry/cps082.
Article Google Scholar
Han, K. S., Viau, A., & Anctil, F. (2003). High-resolution forest fire weather index computations using satellite remote sensing. Canadian Journal of Forest Research, 33, 1134–1143. https://doi.org/10.1139/x03-014.
Article Google Scholar
Hanes, C. C., Jain, P., Flannigan, M. D., Fortin, V., & Roy, G. (2017). Evaluation of the Canadian Precipitation Analysis (CaPA) to improve forest fire danger rating. International Journal of Wildland Fire, 26, 509–522. https://doi.org/10.1071/WF16170.
Article Google Scholar
Holgate, C. M., van Dijk, A. I. J. M., Cary, G. J., & Yebra, M. (2017). Using alternative soil moisture estimates in the McArthur Forest Fire Danger Index. International Journal of Wildland Fire, 26, 806–819. https://doi.org/10.1071/WF16217.
Article Google Scholar
Horel, J. D., Ziel, R., Galli, C., Pechmann, J., & Dong, X. (2014). An evaluation of fire danger and behaviour indices in the Great Lakes region calculated from station and gridded weather information. International Journal of Wildland Fire, 23, 202–214. https://doi.org/10.1071/WF12186.
Article Google Scholar
Huffman, G. J., Adler, R. F., Morrissey, M. M., Bolvin, D. T., Curtis, S., Joyce, R., McGavock, B., & Susskind, J. (2001). Global precipitation at one-degree daily resolution from multisatellite observations. Journal of Hydrometeorology, 2, 36–50. https://doi.org/10.1175/1525-7541(2001)0022.0.CO;2.
Article Google Scholar
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu, G., Hong, Y., Bowman, K. P., & Stocker, E. F. (2007). The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8, 38–55. https://doi.org/10.1175/JHM560.1.
Article Google Scholar
Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K.-L., Joyce, R., Kidd, C., Nelkin, E. J., Sorooshian, S., Tan, J., & Xie, P. (2018). Algorithm theoretical basis document (ATBD) version 5.2 for NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG). NASA 34 pp. Available at https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/IMERG_ATBD_V5.pdf, last accessed 28 Nov. 2018.
Huijnen, V., Wooster, M. J., Kaiser, J. W., Gaveau, D. L. A., Flemming, J., Parrington, M., Inness, A., Murdiyarso, D., Main, B., & van Weele, M. (2016). Fire carbon emissions over maritime Southeast Asia in 2015 largest since 1997. Scientific Reports, 6, 26886. https://doi.org/10.1038/srep26886.
Article Google Scholar
Jain, P., & Flannigan, M. D. (2017). Comparison of methods for spatial interpolation of fire weather in Alberta, Canada. Canadian Journal of Forest Research, 47, 1646–1658. https://doi.org/10.1139/cjfr-2017-0101.
Article Google Scholar
Jang, J. D., Viau, A. A., & Anctil, F. (2006). Thermal-water stress index from satellite images. International Journal of Remote Sensing, 27, 1619–1639. https://doi.org/10.1080/01431160500509194.
Article Google Scholar
Jolly, W. M., Cochrane, M. A., Freeborn, P. H., Holden, Z. A., Brown, T. J., Williamson, G. J., & Bowman, D. M. J. S. (2015). Climate-induced variations in global wildfire danger from 1979 to 2013. Nature Communications, 6, 7537. https://doi.org/10.1038/ncomms8537.
Article Google Scholar
Karali, A., Hatzaki, M., Giannakopoulos, C., Roussos, A., Xanthopoulos, G., & Tenentes, V. (2014). Sensitivity and evaluation of current fire risk and future projections due to climate change: The case study of Greece. Natural Hazards and Earth System Sciences, 14, 143–153. https://doi.org/10.5194/nhess-14-143-2014.
Article Google Scholar
Khaykin, S. M., Godin-Beekmann, S., Hauchecorne, A., Pelon, J., Ravetta, F., & Keckhut, P. (2018). Stratospheric smoke with unprecedentedly high backscatter observed by lidars above southern France. Geophysical Research Letters, 45, 1639–1646. https://doi.org/10.1002/2017GL076763.
Article Google Scholar
Kidd, C., & Levizzani, V. (2011). Status of satellite precipitation retrievals. Hydrology and Earth System Sciences, 15, 1109–1116. https://doi.org/10.5194/hess-15-1109-2011.
Article Google Scholar
Lawson, B. D., & Armitage, O. B. (2008). Weather guide for the Canadian Forest Fire Danger Rating System. Canadian Forest Service, 73 pp. Available at https://cfs.nrcan.gc.ca/publications?id=29152, last accessed 28 Nov. 2018.
Leblon, B., Alexander, M., Chen, J., & White, S. (2001). Monitoring fire danger of northern boreal forests with NOAA-AVHRR NDVI images. International Journal of Remote Sensing, 22, 2839–2846. https://doi.org/10.1080/01431160110034663.
Article Google Scholar
Leblon, B., Kasischke, E., Alexander, M., Doyle, M., & Abbott, M. (2002). Fire danger monitoring using ERS-1 SAR images in the case of northern boreal forests. Natural Hazards, 27, 231–255. https://doi.org/10.1023/A:1020375721520.
Article Google Scholar
Leblon, B., San-Miguel-Ayanz, J., Bourgeau-Chavez, L., & Kong, M. (2016). Remote sensing of wildfires. In N. Baghdadi & M. Zribi (Eds.), Land surface remote sensing: Environment and risks (pp. 55–95). Dordrecht: Elsevier. 9780081012659.
Chapter Google Scholar
Lee, B. S., Alexander, M. E., Hawkes, B. C., Lynham, T. J., Stocks, B. J., & Englefield, P. (2002). Information systems in support of wildland fire management decision making in Canada. Computers and Electronics in Agriculture, 37, 185–198. https://doi.org/10.1016/S0168-1699(02)00120-5.
Article Google Scholar
Lekkas, E., Voulgaris, N., & Lozios, S. (2018). The July 2018 Attica (Central Greece) Wildfires – Scientific Report (Version 1.3). Newsletter of Environmental, Disaster and Crisis Management Strategies, National and Kapodistrian University of Athens. Available at https://edcm.edu.gr/images/docs/2018/Newsletter_Attica_Fires_2018_v11.pdf, last accessed 28 Nov. 2018.
Martinez-Harms, M. J., Caceres, H., Biggs, D., & Possingham, H. P. (2017). After Chile’s fires, reforest private land. Science, 356, 147–148. https://doi.org/10.1126/science.aan0701.
Article Google Scholar
Maselli, F., Romanelli, S., Bottai, L., & Zipoli, G. (2003). Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas. Remote Sensing of Environment, 86, 187–197. https://doi.org/10.1016/S0034-4257(03)00099-3.
Article Google Scholar
Merzouki, A., & Leblon, B. (2011). Mapping fuel moisture codes using MODIS images and the Getis statistic over western Canada grasslands. International Journal of Remote Sensing, 32, 1619–1634. https://doi.org/10.1080/01431160903586773.
Article Google Scholar
Molod, A., Takacs, L., Suarez, M., & Bacmeister, J. (2015). Development of the GEOS-5 atmospheric general circulation model: Evolution from MERRA to MERRA2. Geoscientific Model Development, 8, 1339–1356. https://doi.org/10.5194/gmd-8-1339-2015.
Article Google Scholar
Nurbaya, N. (2018). The State of Indonesia’s forests 2018, 196 pp, ISBN: 978-602-8358-82-8. Available at https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwia5ZKauvfeAhUI-6QKHTh0APwQFjAAegQICRAC&url=http%3A%2F%2Fwww.menlhk.go.id%2Fdownlot.php%3Ffile%3Dthe_state_Indonesia_forests_2018_Book.pdf&usg=AOvVaw3Dg8lu_ci6MFLMx3XRcMSL, last accessed 28 Nov. 2018.
Oldford, S., Leblon, B., Maclean, D., & Flannigan, M. (2006). Predicting slow-drying fire weather index fuel moisture codes with NOAA-AVHRR images in Canada’s northern boreal forests. International Journal of Remote Sensing, 27, 3881–3902. https://doi.org/10.1080/01431160600784234.
Article Google Scholar
Peterson, D. A., Campbell, J. R., Hyer, E. J., Fromm, M. D., Kablick, G. P., Cossuth, J. H., & DeLand, M. T. (2018). Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke. npj Climate and Atmospheric Science, 1, 30. https://doi.org/10.1038/s41612-018-0039-3.
Article Google Scholar
Robinne, F. N., Bladon, K. D., Miller, C., Parisien, M. A., Mathieu, J., & Flannigan, M. D. (2018). A spatial evaluation of global wildfire-water risks to human and natural systems. Science of the Total Environment, 610, 1193–1206. https://doi.org/10.1016/j.scitotenv.2017.08.112.
Article Google Scholar
San-Miguel-Ayanz, J., Manuel Moreno, J., & Camia, A. (2013). Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives. Forest Ecology and Management, 294, 11–22. https://doi.org/10.1016/j.foreco.2012.10.050.
Article Google Scholar
Steininger, M. K., Tabor, K., Small, J., Pinto, C., Soliz, J., & Chavez, E. (2013). A satellite model of forest flammability. Environmental Management, 52, 136–150. https://doi.org/10.1007/s00267-013-0073-1.
Article Google Scholar
Stocks, B. J., Lawson, B. D., Alexander, M. E., Vanwagner, C. E., McAlpine, R. S., Lynham, T. J., & Dube, D. E. (1989). The Canadian forest fire danger rating system – An Overview. Forestry Chronicle, 65, 450–457. Available from https://cfs.nrcan.gc.ca/publications?id=11347, last accessed 28 Nov. 2018.
Taylor, S. W., & Alexander, M. E. (2006). Science, technology, and human factors in fire danger rating: The Canadian experience. International Journal of Wildland Fire, 15, 121–135. https://doi.org/10.1071/WF05021.
Article Google Scholar
Úbeda, X., & Sarricolea, P. (2016). Wildfires in Chile: A review. Global and Planetary Change, 146, 152–161. https://doi.org/10.1016/j.gloplacha.2016.10.004.
Article Google Scholar
Urrutia-Jalabert, R., Gonzalez, M. E., Gonzalez-Reyes, A., Lara, A., & Garreaud, R. (2018). Climate variability and forest fires in central and south-central Chile. Ecosphere, 9, e02171. https://doi.org/10.1002/ecs2.2171.
Article Google Scholar
van der Werf, G. R., Randerson, J. T., Giglio, L., Gobron, N., & Dolman, A. J. (2008a). Climate controls on the variability of fires in the tropics and subtropics. Global Biogeochemical Cycles, 22. https://doi.org/10.1029/2007GB003122.
van der Werf, G. R., Dempewolf, J., Trigg, S. N., Randerson, J. T., Kasibhatla, P. S., Giglio, L., Murdiyarso, D., Peters, W., Morton, D. C., Collatz, G. J., Dolman, A. J., & DeFries, R. S. (2008b). Climate regulation of fire emissions and deforestation in equatorial Asia. PNAS, 105, 20350–20355. https://doi.org/10.1073/pnas.0803375105.
Article Google Scholar
van Wagner, C. E. (1987). Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forestry Service, 37 pp. Available at https://cfs.nrcan.gc.ca/publications?id=19927, last accessed 28 Nov. 2018.
Venalainen, A., Korhonen, N., Hyvarinen, O., Koutsias, N., Xystrakis, F., Urbieta, I. R., & Moreno, J. M. (2014). Temporal variations and change in forest fire danger in Europe for 1960-2012. Natural Hazards and Earth System Sciences, 14, 1477–1490. https://doi.org/10.5194/nhess-14-1477-2014.
Article Google Scholar
Viegas, D. X., Bovio, G., Ferreira, A., Nosenzo, A., & Sol, B. (1999). Comparative study of various methods of fire danger evaluation in southern Europe. International Journal of Wildland Fire, 9, 235–246. https://doi.org/10.1071/WF00015.
Article Google Scholar
Wotton, B. M. (2009). Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications. Environmental and Ecological Statistics, 16, 107–131. https://doi.org/10.1007/s10651-007-0084-2.
Article Google Scholar

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Acknowledgements

The development of GFWED is supported by the NASA Precipitation Measurement Missions Science Team and the NASA Group on Earth Observations Work Programme. All GFWED data are available at https://data.giss.nasa.gov/impacts/gfwed/ (last accessed 28 Nov. 2018).

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Department of Applied Physics and Applied Mathematics, Columbia University, and NASA, Goddard Institute for Space Studies, New York, NY, USA
Robert D. Field

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Robert D. Field
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Correspondence to Robert D. Field .

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CNR-ISAC, Bologna, Italy
Vincenzo Levizzani
Earth System Science Interdisciplinary Center University of Maryland and NASA Goddard Space Flight Center, Greenbelt, MD, USA
Christopher Kidd
Code 617, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Dalia B. Kirschbaum
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Christian D. Kummerow
Department of Economics on Sustainability, Dokkyo University, Saitama, Japan
Kenji Nakamura
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
F. Joseph Turk

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Field, R.D. (2020). Using Satellite Estimates of Precipitation for Fire Danger Rating. In: Levizzani, V., Kidd, C., Kirschbaum, D., Kummerow, C., Nakamura, K., Turk, F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-35798-6_33

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DOI: https://doi.org/10.1007/978-3-030-35798-6_33
Published: 15 April 2020
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35797-9
Online ISBN: 978-3-030-35798-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)

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