17 Strengthening Flood and Drought Risk Management Tools …
405
Kirtman BP, coauthors (2014) The north american multimodel ensemble: phase-1 seasonal-tointerannual prediction; phase-2 toward developing intraseasonal prediction. Bull Amer Meteor
Soc 95,585–601. https://dx.doi.org/10.1175/BAMS-D-12-00050.1
LACFDM, Latin American and Caribbean Flood and Drought Monitor (2019) Princeton Climate
Analytics. http://stream.princeton.edu/lacfdm. Accessed 31 July 2019
LCBC (1998) Plan d’action stratégique. Vers un développement durable sur le bassin du Lac Tchad.
Gestion intégrée et durable des eaux internationales du Bassin du Lac Tchad. N’Djamena, LCBC
Leblanc M, Lemoalle I, Bader JC, Tweed S, Mofor L (2011) Thermal remote sensing of water under
flooded vegetation: new observations of inundation patterns for the ’Small’ Lake Chad. J Hydrol
404:87–98
Lemoalle J, Bader JC, Leblanc M, Sedick A (2012) Recent changes in Lake Chad: observations,
simulations and management options (1973–2011). Global Planet Change 80:247–254
L’Hôte Y, Mahé G, Somé B, Triboulet JP (2002) Analysis of a Sahelian annual rainfall index from
1896 to 2000; the drought continues. Hydrol Sci J Des Sci Hydrol 47:563–572
Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land
surface water and energy fluxes for GCMs. J Geophys Res 99(D7):14415–14428
Luo L, Wood EF (2007) Monitoring and predicting the 2007 U.S. drought. Geophys Res Lett
34:L22702. https://doi.org/10.1029/2007gl031673
Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface
water and its long-term changes. Nature 540:418–422. https://doi.org/10.1038/nature20584
Policelli F, Hubbard A, Jung HC, Zaitchik B, Ichoku C (2018) Lake Chad total surface water area
as derived from land surface temperature and radar remote sensing data. Remote Sens 10:252
Sheffield J, Xia Y, Luo L, Wood EF, Ek M, Mitchell KE, and the NLDAS Team (2012) Drought
monitoring with the North American Land Data Assimilation System (NLDAS): a framework for
merging model and satellite data for improved drought monitoring. In: Wardlow B, Anderson M,
Verdin J (eds) Remote sensing of drought: innovative monitoring approaches. Taylor and Francis,
London, UK, 270 p
Sheffield J, Wood EF, Chaney N, Guan K, Sadri S, Yuan X, Olong L, Amani A, Ali A, Demuth
S, Ogallo L (2014) A drought monitoring and forecasting system for sub-Saharan African water
resources and food security. Bull Am Meteor Soc 95(6):861–882
Sheffield J, Wood EF, Pan M, Beck H, Coccia G, Serrat-Capdevila A, Verbist K (2018) Satellite remote sensing for water resources management: Potential for supporting sustainable
development in data-poor regions. Water Resour Res 54. https://doi.org/10.1029/2017WR022437
World Bank Group (2018) Mainstreaming the use of remote sensing data and applications in operational contexts. World Bank, Washington, DC. © World Bank. https://openknowledge.worldb
ank.org/handle/10986/29333 (License: CC BY 3.0 IGO)
Wood AW, Maurer EP, Kumar A, Lettenmaier DP (2002) Long-range experimental hydrologic
forecasting for the eastern United States. J Geophys Res 107:4429. https://doi.org/10.1029/200
1JD000659
Xia Y, Mitchell K, Ek M, Cosgrove B, Sheffield J, Luo L, .Alonge C, Wei H, Meng J, Livneh
B, Duan Q, Lohmann D (2012) Continental-scale water and energy flux analysis and validation
for North American land data assimilation system project phase 2 (NLDAS-2): 2. validation of
model-simulated streamflow, J Geophys Res 117:D03110. https://doi.org/10.1029/2011jd016051
405
Kirtman BP, coauthors (2014) The north american multimodel ensemble: phase-1 seasonal-tointerannual prediction; phase-2 toward developing intraseasonal prediction. Bull Amer Meteor
Soc 95,585–601. https://dx.doi.org/10.1175/BAMS-D-12-00050.1
LACFDM, Latin American and Caribbean Flood and Drought Monitor (2019) Princeton Climate
Analytics. http://stream.princeton.edu/lacfdm. Accessed 31 July 2019
LCBC (1998) Plan d’action stratégique. Vers un développement durable sur le bassin du Lac Tchad.
Gestion intégrée et durable des eaux internationales du Bassin du Lac Tchad. N’Djamena, LCBC
Leblanc M, Lemoalle I, Bader JC, Tweed S, Mofor L (2011) Thermal remote sensing of water under
flooded vegetation: new observations of inundation patterns for the ’Small’ Lake Chad. J Hydrol
404:87–98
Lemoalle J, Bader JC, Leblanc M, Sedick A (2012) Recent changes in Lake Chad: observations,
simulations and management options (1973–2011). Global Planet Change 80:247–254
L’Hôte Y, Mahé G, Somé B, Triboulet JP (2002) Analysis of a Sahelian annual rainfall index from
1896 to 2000; the drought continues. Hydrol Sci J Des Sci Hydrol 47:563–572
Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land
surface water and energy fluxes for GCMs. J Geophys Res 99(D7):14415–14428
Luo L, Wood EF (2007) Monitoring and predicting the 2007 U.S. drought. Geophys Res Lett
34:L22702. https://doi.org/10.1029/2007gl031673
Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface
water and its long-term changes. Nature 540:418–422. https://doi.org/10.1038/nature20584
Policelli F, Hubbard A, Jung HC, Zaitchik B, Ichoku C (2018) Lake Chad total surface water area
as derived from land surface temperature and radar remote sensing data. Remote Sens 10:252
Sheffield J, Xia Y, Luo L, Wood EF, Ek M, Mitchell KE, and the NLDAS Team (2012) Drought
monitoring with the North American Land Data Assimilation System (NLDAS): a framework for
merging model and satellite data for improved drought monitoring. In: Wardlow B, Anderson M,
Verdin J (eds) Remote sensing of drought: innovative monitoring approaches. Taylor and Francis,
London, UK, 270 p
Sheffield J, Wood EF, Chaney N, Guan K, Sadri S, Yuan X, Olong L, Amani A, Ali A, Demuth
S, Ogallo L (2014) A drought monitoring and forecasting system for sub-Saharan African water
resources and food security. Bull Am Meteor Soc 95(6):861–882
Sheffield J, Wood EF, Pan M, Beck H, Coccia G, Serrat-Capdevila A, Verbist K (2018) Satellite remote sensing for water resources management: Potential for supporting sustainable
development in data-poor regions. Water Resour Res 54. https://doi.org/10.1029/2017WR022437
World Bank Group (2018) Mainstreaming the use of remote sensing data and applications in operational contexts. World Bank, Washington, DC. © World Bank. https://openknowledge.worldb
ank.org/handle/10986/29333 (License: CC BY 3.0 IGO)
Wood AW, Maurer EP, Kumar A, Lettenmaier DP (2002) Long-range experimental hydrologic
forecasting for the eastern United States. J Geophys Res 107:4429. https://doi.org/10.1029/200
1JD000659
Xia Y, Mitchell K, Ek M, Cosgrove B, Sheffield J, Luo L, .Alonge C, Wei H, Meng J, Livneh
B, Duan Q, Lohmann D (2012) Continental-scale water and energy flux analysis and validation
for North American land data assimilation system project phase 2 (NLDAS-2): 2. validation of
model-simulated streamflow, J Geophys Res 117:D03110. https://doi.org/10.1029/2011jd016051