Decadal Climate Information Needs of Stakeholders for Decision Support in Water and Agriculture Production Sectors: A Case Study in the Missouri River Basin

Many decadal climate prediction efforts have been initiated under phase 5 of the World Climate Research Programme Coupled Model Intercomparison Project. There is considerable ongoing discussion about model deficiencies,initializationtechniques, anddatarequirements,but not muchattentionis beinggiventodecadal climate information (DCI) needs of stakeholders for decision support. Here, the authors report the results of exploratory activities undertaken to assess DCI needs in water resources and agriculture sectors, using the Missouri River basin asa case study.This assessmentwas achievedthroughdiscussionswith 120 stakeholders. Stakeholders’ awareness of decadal dry and wet spells and their societal impacts in the basin are described, and stakeholders’ DCI needs and potential barriers to their use of DCI are enumerated. The authors find that impacts, including economic impacts, of decadal climate variability (DCV) on water and agricultural productioninthebasinaredistinctlyidentifiableandcharacterizable.Stakeholdershaveclearnotionsabouttheir needs for DCI and have offered specific suggestions as to how these might be met. However, while stakeholders are eager to have climate information, including decadal climate outlooks (DCOs), there are many barriers to the use of such information. Thefirst and foremost barrier is that the credibility of DCOs is yet to be established. Second, the nature of institutional rules and regulations, laws, and legal precedents that pose obstacles to the use of DCOs must be better understood and means to modify these, where possible, must be sought. For the benefit of climate scientists, these and other stakeholder needs are also articulated in this paper.

[1]  Adam A. Scaife,et al.  Towards Prediction of Decadal Climate Variability and Change , 2009 .

[2]  G. Meehl,et al.  Decadal prediction: Can it be skillful? , 2009 .

[3]  V. Mehta Variability of the Tropical Ocean Surface Temperatures at Decadal–Multidecadal Timescales. Part I: The Atlantic Ocean , 1998 .

[4]  Stephen Cusack,et al.  Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model , 2007, Science.

[5]  V. Singh,et al.  Computer Models of Watershed Hydrology , 1995 .

[6]  N. Rosenberg,et al.  Simulated Impacts of Three Decadal Climate Variability Phenomena on Water Yields in the Missouri River Basin 1 , 2011 .

[7]  K. Georgakakos,et al.  River Outflow of the Conterminous United States, 1939–1988 , 1993 .

[8]  V. Singh,et al.  The EPIC model. , 1995 .

[9]  H. Lins Regional streamflow regimes and hydroclimatology of the United States , 1997 .

[10]  V. Mehta,et al.  Decadal Variability of the Indo-Pacific Warm Pool and Its Association with Atmospheric and Oceanic Variability in the NCEP-NCAR and SODA Reanalyses , 2008 .

[11]  M. Ting,et al.  Summertime U.S. Precipitation Variability and Its Relation toPacific Sea Surface Temperature , 1997 .

[12]  J. Wallace,et al.  A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production , 1997 .

[13]  Detlef Stammer,et al.  Initializing Decadal Climate Predictions with the GECCO Oceanic Synthesis: Effects on the North Atlantic , 2009 .

[14]  L. Kornblueh,et al.  Advancing decadal-scale climate prediction in the North Atlantic sector , 2008, Nature.

[15]  Randal D. Koster,et al.  On the Cause of the 1930s Dust Bowl , 2004, Science.

[16]  N. Graham,et al.  Decadal Variability of Precipitation over Western North America , 1998 .

[17]  Randall T. Hanson,et al.  Climate Variability Controls on Unsaturated Water and Chemical Movement, High Plains Aquifer, USA , 2007 .

[18]  N. Rosenberg,et al.  Simulated impacts of three decadal climate variability phenomena on dryland corn and wheat yields in the Missouri River Basin , 2012 .

[19]  Nancy L. Barber,et al.  Estimated withdrawals from principal aquifers in the United States, 2000 , 2005 .

[20]  Gilbert T. Bernhardt,et al.  A comprehensive surface-groundwater flow model , 1993 .

[21]  Michael A. Palecki,et al.  Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[22]  R. Koster,et al.  On the Cause of the 1930 s Dust Bowl , 2004 .

[23]  Raghavan Srinivasan,et al.  CONTINENTAL SCALE SIMULATION OF THE HYDROLOGIC BALANCE 1 , 1999 .

[24]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .