1.

Record Nr.

UNINA9910953823403321

Titolo

Assessment of intraseasonal to interannual climate prediction and predictability / / Committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies

Pubbl/distr/stampa

Washington, D.C., : National Academies Press, 2010

ISBN

9786612787218

9780309161343

0309161347

9781282787216

1282787217

9780309151849

0309151848

Edizione

[1st ed.]

Descrizione fisica

1 online resource (193 p.)

Collana

National Research Council

Disciplina

551.63

Soggetti

Climatology

Climatology - Research

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

""Front Matter ""; ""Contents""; ""Summary ""; ""1 Introduction""; ""2 Climate Prediction""; ""3 Building Blocks of Intraseasonal to Interannual Forecasting""; ""4 Case Studies ""; ""5 Best Practices ""; ""6 Recommendations and Remarks  on Implementation""; ""References ""; ""Appendix A Background Information  on Statistical Techniques ""; ""Appendix B Committee Membersâ€? Biographical Information ""

Sommario/riassunto

More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations



about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.