Global Drought and Flood

182 Silva, C.V.J., Aragão, L.E.O.C., Barlow, J., Espirito‐Santo, F., Young, P.J., Anderson, L.O., et al. (2018). Drought‐induced Amazonian wildfires instigate a decadal‐scale disruption of forest carbon dynamics. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1760), 20180043.

183 Simpson, J.J., Stitt, J.R., & Sienko, M. (1998). Improved estimates of the areal extent of snow cover from AVHRR data. Journal of Hydrology, 204(1–4), 1–23.

184 Sohrabi, M.M., Ryu, J.H., Abatzoglou, J., & Tracy, J. (2015). Development of soil moisture drought index to characterize droughts. Journal of Hydrologic Engineering, 20(11), 4015025.

185 Sorooshian, A., Murphy, S.M., Hersey, S., Gates, H., Padro, L.T., Nenes, A., et al. (2008). Comprehensive airborne characterization of aerosol from a major bovine source. Atmospheric Chemistry and Physics, 8(17), 5489–5520.

186 Sorooshian, S., Hsu, K.‐L., Gao, X., Gupta, H.V., Imam, B., & Braithwaite, D. (2000). Evaluation of PERSIANN system satellite‐based estimates of tropical rainfall. Bulletin of the American Meteorological Society, 81(9), 2035–2046.

187 Staudinger, M., Stahl, K., & Seibert, J. (2014). A drought index accounting for snow. Water Resources Research, 50(10), 7861–7872.

188 Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., et al. (2002). The drought monitor. Bulletin of the American Meteorological Society, 83(8), 1181–1190.

189 Tadesse, T., Brown, J.F., & Hayes, M.J. (2005). A new approach for predicting drought‐related vegetation stress: Integrating satellite, climate, and biophysical data over the US central plains. ISPRS Journal of Photogrammetry and Remote Sensing, 59(4), 244–253.

190 Takada, M., Mishima, Y., & Natsume, S. (2009). Estimation of surface soil properties in peatland using ALOS/PALSAR. Landscape and Ecological Engineering, 5(1), 45–58.

191 Taravatrooy, N., Nikoo, M.R., Sadegh, M., & Parvinnia, M., (2018). A hybrid clustering‐fusion methodology for land subsidence estimation. Natural Hazards, 94(2), 905–926.

192 Taufik, M., Torfs, P.JJ. F., Uijlenhoet, R., Jones, P.D., Murdiyarso, D., & Van Lanen, H.A.J. (2017). Amplification of wildfire area burnt by hydrological drought in the humid tropics. Nature Climate Change, 7(6), 428.

193 Thomas, B.F., Famiglietti, J.S., Landerer, F.W., Wiese, DN., Molotch, N. P., & Argus, D.F. (2017). GRACE Groundwater Drought Index: Evaluation of California Central Valley groundwater drought. Remote Sensing of Environment, 198, 384–392. https://doi.org/10.1016/j.rse.2017.06.026

194 Thornthwaite, C.W. (1931). The climates of North America: according to a new classification. Geographical Review, 21(4), 633–655.

195 Thornthwaite, C.W. (1948). An approach toward a rational classification of climate. Geographical Review, 38(1), 55–94.

196 Tian, B., Soden, B.J., & Wu, X. (2004). Diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere: Satellites versus a general circulation model. Journal of Geophysical Research: Atmospheres, 109(D10). https://doi.org/10.1029/2003JD004117

197 Tian, Y., Peters‐Lidard, C.D., Eylander, J.B., Joyce, R.J., Huffman, G.J., Adler, R.F., et al. (2009). Component analysis of errors in satellite‐based precipitation estimates. Journal of Geophysical Research: Atmospheres, 114(D24). https://doi.org/10.1029/2009JD011949

198 Tigkas, D., Vangelis, H., & Tsakiris, G. (2017). An enhanced effective reconnaissance drought index for the characterisation of agricultural drought. Environmental Processes, 4, 137–148. https://doi.org/10.1007/s40710‐017‐0219‐x

199 Tsakiris, G., Pangalou, D., & Vangelis, H. (2007). Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resources Management, 21(5), 821–833.

200 Tsakiris, G., & Vangelis, H. (2005). Establishing a drought index incorporating evapotranspiration. European Water, 9/10, 3–11.

201 Tucker, C.J., Pinzon, J.E., Brown, M.E., Slayback, D.A., Pak, E.W., Mahoney, R., et al. (2005). An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26(20), 4485–4498.

202 Turk, F.J., Rohaly, G.D., Hawkins, J., Smith, E.A., Marzano, F.S., Mugnai, A., & Levizzani, V. (1999). Meteorological applications of precipitation estimation from combined SSM/I, TRMM and infrared geostationary satellite data. In P. Pampaloni (Ed.), Microwave radiometry and remote sensing of the Earth’s surface and atmosphere (pp. 353–363). Routledge

203 Twohy, C.H., Coakley Jr, J.A., & Tahnk, W.R. (2009). Effect of changes in relative humidity on aerosol scattering near clouds. Journal of Geophysical Research: Atmospheres, 114(D5). https://doi.org/10.1029/2008JD010991

204 U.S. Global Change Research Program, 2018. Fourth national climate assessment. Washington, DC.

205 Utah Division of Water Resources, 2007. Drought in Utah: Learning from the past‐preparing for the future. http://www.water.utah.gov/DroughtReport/binder2A.pdf, accessed July 2007

206 Van Loon, A.F., Gleeson, T., Clark, J., Van Dijk, A.I.J.M., Stahl, K., Hannaford, J., et al. (2016). Drought in the Anthropocene. Nature Geoscience, 9(2), 89.

207 Van Loon, A.F., & Van Lanen, H.A.J. (2012). A process‐based typology of hydrological drought. Hydrology and Earth System Sciences, 16(7), 1915–1946.

208 Vergados, P., Mannucci, A.J., Ao, C.O., Jiang, J.H., & Su, H. (2015). On the comparisons of tropical relative humidity in the lower and middle troposphere among COSMIC radio occultations and MERRA and ECMWF data sets. Atmospheric Measure Techniques, 8, 1789–1797. https://doi.org/10.5194/amt‐8‐1789‐2015

209 Vicente‐Serrano, S.M., Beguería, S., & López‐Moreno, J.I. (2010). A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of Climate, 23(7), 1696–1718.

210 Vicente‐Serrano, S. M., Cabello, D., Tomás‐Burguera, M., Martín‐Hernández, N., Beguería, S., Azorin‐Molina, C., & Kenawy, A.El. (2015). Drought variability and land degradation in semiarid regions: Assessment using remote sensing data and drought indices (1982–2011). Remote Sensing, 7(4), 4391–4423.

211 Wada, Y. (2013). Human and climate impacts on global water resources. PhD thesis, University Utrecht.

212 Wagner, W., Noll, J., Borgeaud, M., & Rott, H. (1999). Monitoring soil moisture over the Canadian Prairies with the ERS scatterometer. IEEE Transactions on Geoscience and Remote Sensing, 37(1), 206–216.

213 Wahr, J., Swenson, S., & Velicogna, I. (2006). Accuracy of GRACE mass estimates. Geophysical Research Letters, 33(6). https://doi.org/10.1029/2005GL025305

214 Walker, A.E., & Goodison, B.E. (1993). Discrimination of a wet snow cover using passive microwave satellite data. Annals of Glaciology, 17, 307–311.

215 Wang, L., & Qu, J.J. (2009). Satellite remote sensing applications for surface soil moisture monitoring: A review. Frontiers of Earth Science in China, 3(2), 237–247. https://doi.org/10.1007/s11707‐009‐0023‐7

216 Wang, S., Mo, X., Hu, S., Liu, S., & Liu, Z. (2018). Assessment of droughts and wheat yield loss on the North China Plain with an aggregate drought index (ADI) approach. Ecological Indicators, 87, 107–116. https://doi.org/10.1016/j.ecolind.2017.12.047

217 Wang, X.Y., Wang, J., Jiang, Z.Y., Li, H.Y., & Hao, X.H. (2015). An effective method for snow‐cover mapping of dense coniferous forests in the Upper Heihe River Basin using Landsat Operational Land Imager Data. Remote Sensing, 7(12), 17246–17257. https://doi.org/10.3390/rs71215882

218 Waseem, M., Ajmal, M., & Kim, T. (2015). Development of a new composite drought index for multivariate drought assessment. Journal of Hydrology, 527, 30–37. https://doi.org/10.1016/j.jhydrol.2015.04.044