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.
%0 Book
%1 NASseasonal
%A on Assessment of Intraseasonal to Interannual Climate Prediction, Committee
%A Predictability,
%A on Atmospheric Sciences, Board
%A Climate,
%A on Earth, Division
%A Studies, Life
%A Council, National Research
%C Washington, D.C.
%D 2010
%I National Academies Press
%K verification decadal textbook skill seasonal nao MJO ENSO
%R 10.17226/12878
%T Assessment of Intraseasonal to Interannual Climate Prediction and Predictability
%U http://dx.doi.org/10.17226/12878
%X 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.
%@ 978-0-309-15183-2
@book{NASseasonal,
abstract = {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.},
added-at = {2018-06-18T21:23:34.000+0200},
address = {Washington, D.C.},
author = {on Assessment of Intraseasonal to Interannual Climate Prediction, Committee and Predictability and on Atmospheric Sciences, Board and Climate and on Earth, Division and Studies, Life and Council, National Research},
biburl = {https://www.bibsonomy.org/bibtex/21278b1289c03100b29d3d4ca878b5dbd/pbett},
citeulike-article-id = {13828770},
citeulike-linkout-0 = {http://dx.doi.org/10.17226/12878},
day = 08,
doi = {10.17226/12878},
interhash = {19b5b9ffe0ede09f8af1384cb877eb95},
intrahash = {1278b1289c03100b29d3d4ca878b5dbd},
isbn = {978-0-309-15183-2},
keywords = {verification decadal textbook skill seasonal nao MJO ENSO},
month = sep,
posted-at = {2015-11-05 10:42:45},
priority = {2},
publisher = {National Academies Press},
timestamp = {2020-04-15T09:29:49.000+0200},
title = {Assessment of Intraseasonal to Interannual Climate Prediction and Predictability},
url = {http://dx.doi.org/10.17226/12878},
year = 2010
}