Multivariate Standardized Drought Index: A parametric multi-index model

AghaKouchak, 2010, Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula, Adv Water Resour, 33, 624, 10.1016/j.advwatres.2010.02.010

AghaKouchak, 2010, Copula-based uncertainty modelling: application to multisensor precipitation estimates, Hydrol Process, 24, 2111, 10.1002/hyp.7632

Aghakouchak, 2010, Estimation of tail dependence coefficient in rainfall accumulation fields, Adv Water Resour, 33, 1142, 10.1016/j.advwatres.2010.07.003

AghaKouchak, 2012

Bardossy, 2006, Copula-based geostatistical models for groundwater quality parameters, Water Resour Res, 42, W11416, 10.1029/2005WR004754

Brown, 2008, The vegetation drought response index (VegDRI): a new integrated approach for monitoring drought stress in vegetation, GISci Remote Sens, 45, 16, 10.2747/1548-1603.45.1.16

Dai, 2011, Characteristics and trends in various forms of the palmer drought severity index during 1900–2008, J Geophys Res, 116, D12115, 10.1029/2010JD015541

Dai, 2004, A global dataset of palmer drought severity index for 1870–2002: relationship with soil moisture and effects of surface warming, J Hydrometeorol, 5, 1117, 10.1175/JHM-386.1

Dracup, 1980, On the definition of droughts, Water Resour Res, 16, 297, 10.1029/WR016i002p00297

Fan, 1948, Climate prediction center global monthly soil moisture data set at 0.5 resolution for 1948 to present, J Geophys Res, 2004, D10102

Favre, 2004, Multivariate hydrological frequency analysis using copulas, Water Resour Res, 40, W01101, 10.1029/2003WR002456

FEMA. National mitigation strategy: Partnerships for building safer communities. Washington, DC; 1995.

Genest, 2007, Everything you always wanted to know about copula modeling but were afraid to ask, J Hydrol Eng, 12, 347, 10.1061/(ASCE)1084-0699(2007)12:4(347)

Genest, 2007, Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data, Water Resour Res, 43, W09401, 10.1029/2006WR005275

Genest, 2006, Goodness of fit procedures for Copula models based on the probability integral transformation, Scand J Stat, 33, 337, 10.1111/j.1467-9469.2006.00470.x

Guttman, 1998, Comparing the palmer drought index and the standardized precipitation index, JAWRA J Am Water Resour Assoc, 34, 113, 10.1111/j.1752-1688.1998.tb05964.x

Hayes, 2011, The Lincoln declaration on drought indices: universal meteorological drought index recommended, Bull Am Meteorol Soc, 92, 485, 10.1175/2010BAMS3103.1

Heim, 2002, A review of 20th-century drought indices used in the United States, Bull Am Meteorol Soc, 83, 1149, 10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2

Joe, 1997

Kao, 2010, A copula-based joint deficit index for droughts, J Hydrol, 380, 121, 10.1016/j.jhydrol.2009.10.029

Keyantash, 2002, The quantification of drought: an evaluation of drought indices, Bull Am Meteorol Soc, 83, 1167, 10.1175/1520-0477(2002)083<1191:TQODAE>2.3.CO;2

Keyantash, 2004, An aggregate drought index: assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage, Water Resour Res, 40, W09304, 10.1029/2003WR002610

McKee TB, Doesken NJ, Kleist J. The relationship of drought frequency and duration to time scales. In: Eighth conference on applied climatology, American meteorological society, Anaheim, CA; 1993.

Mishra, 2010, A review of drought concepts, J Hydrol, 391, 202, 10.1016/j.jhydrol.2010.07.012

Mo, 2008, Model-based drought indices over the United States, Journal of Hydrometeorol, 9, 1212, 10.1175/2008JHM1002.1

Mo, 2011, Drought onset and recovery over the United States, J Geophys Res, 116, D20106, 10.1029/2011JD016168

National Research Council, 2010

Nelsen, 2006

Palmer W. Meteorological drought, Weather Bur. Res. Pap. 45. US Department of Agriculture, US Gov. Print. Off., Washington, DC; 1965.

Palmer, 1968, Keeping track of crop moisture conditions, nationwide: the new crop moisture index, Weatherwise, 21, 156, 10.1080/00431672.1968.9932814

Quiring, 2009, Monitoring drought: an evaluation of meteorological drought indices, Geography Compass, 3, 64, 10.1111/j.1749-8198.2008.00207.x

Salvadori, 2010, Multivariate multiparameter extreme value models and return periods: a copula approach, Water Resour Res, 46, W10501, 10.1029/2009WR009040

Salvadori, 2007

Serinaldi, 2009, Probabilistic characterization of drought properties through copulas, Phys Chem Earth, Parts A/B/C, 34, 596, 10.1016/j.pce.2008.09.004

Sheffield, 2012, Little change in global drought over the past 60years, Nature, 491, 435, 10.1038/nature11575

Shiau, 2006, Fitting drought duration and severity with two-dimensional copulas, Water Resour Manage, 20, 795, 10.1007/s11269-005-9008-9

Shukla, 2011, Drought monitoring for Washington State: indicators and applications, J Hydrometeorol, 12, 66, 10.1175/2010JHM1307.1

Shukla, 2008, Use of a standardized runoff index for characterizing hydrologic drought, Geophys Res Lett, 35, L02405, 10.1029/2007GL032487

Sims, 2002, Adopting drought indices for estimating soil moisture: a North Carolina case study, Geophys Res Lett, 29, 1183, 10.1029/2001GL013343

Sklar, 1959, Fonctions de répartition à n dimensions et leurs marges, Publ Inst Statist Univ Paris, 8, 229

Svoboda, 2002, The drought monitor, Bull Am Meteorol Soc, 83, 1181, 10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2

Trivedi, 2005, Copula modeling: an introduction for practitioners, Found Trends Economet, 1, 1, 10.1561/0800000005

Vicente-Serrano, 2010, A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index, J Clim, 23, 1696, 10.1175/2009JCLI2909.1

WCRP. WCRP white paper on ‘drought predictability and prediction in a changing climate: assessing current capabilities, user requirements, and research priorities, Tech. rep., World Climate Research Programme., Barcelona, Spain; 2010.

Wilhite, 2000