Despite the recent effort to develop underpinning climate prediction
science for seasonal to decadal (S2D) climate predictions, there has
been relatively little uptake and use of S2D climate forecasts by users
for decision making in Europe 1. On the other hand, there is a much
longer tradition in applying seasonal climate forecast information for
user applications in other parts of the World, notably in Africa, the USA
and Australia 1,2; ” one notable exception” is the use of precipitation
forecasts for hydropower generation management by Electricte de
France (EDF Energy) 3,4. In part, this is related to the relatively limited skill of S2D climate forecasts in Europe; in contrast predictability in decadal hindcasts (forecasts of the past) is greatest in the Tropics 5.
This illustrates the importance of understanding skill in user uptake
of such products 6-8. However, accuracy, lead time, and appropriate
spatial and temporal scale of S2D climate forecast information may
not be the main (or only) factors influencing user uptake; potential
economic and environmental benefits may be of greater importance
9. In addition, probabilistic (ensemble) prediction systems are more
commonly used in medium-range applications, bringing additional
challenges in communicating forecast information to end-users.
(private-note)PDF link from article page is correct, but text on page is actually for the next article,
https://www.omicsgroup.org/journals/thinking-of-wetland-reconstruction-and-ecological-remediation-for-shallow-lakes-2329-6755-2-1000e112.php?aid=18798, doi:10.4172/2329-6755.1000e112
%0 Journal Article
%1 Falloon2013Assessing
%A Falloon, Pete
%A Fereday, David
%A Stringer, Nicky
%A Williams, Karina
%A Gornall, Jemma
%A Wallace, Emily
%A Eade, Rosie
%A Brookshaw, Anca
%A Camp, Joanne
%A Betts, Richard
%A Dankers, Rutger
%A Nicklin, Kathryn
%A Vellinga, Michael
%A Graham, Richard
%A Arribas, Alberto
%A MacLachlan, Craig
%D 2013
%J Journal of Geology & Geosciences
%K seasonal climateservices colleagues decadal KW impacts
%N 3
%P 1--3
%R 10.4172/2329-6755.1000e111
%T Assessing Skill for Impacts in Seasonal to Decadal Climate Forecasts
%U http://www.omicsgroup.org/journals/assessing-skill-for-impacts-in-seasonal-to-decadal-climate-forecasts-2329-6755-2-1000e111.php?aid=18791
%V 2
%X Despite the recent effort to develop underpinning climate prediction
science for seasonal to decadal (S2D) climate predictions, there has
been relatively little uptake and use of S2D climate forecasts by users
for decision making in Europe 1. On the other hand, there is a much
longer tradition in applying seasonal climate forecast information for
user applications in other parts of the World, notably in Africa, the USA
and Australia 1,2; ” one notable exception” is the use of precipitation
forecasts for hydropower generation management by Electricte de
France (EDF Energy) 3,4. In part, this is related to the relatively limited skill of S2D climate forecasts in Europe; in contrast predictability in decadal hindcasts (forecasts of the past) is greatest in the Tropics 5.
This illustrates the importance of understanding skill in user uptake
of such products 6-8. However, accuracy, lead time, and appropriate
spatial and temporal scale of S2D climate forecast information may
not be the main (or only) factors influencing user uptake; potential
economic and environmental benefits may be of greater importance
9. In addition, probabilistic (ensemble) prediction systems are more
commonly used in medium-range applications, bringing additional
challenges in communicating forecast information to end-users.
@article{Falloon2013Assessing,
abstract = {Despite the recent effort to develop underpinning climate prediction
science for seasonal to decadal (S2D) climate predictions, there has
been relatively little uptake and use of S2D climate forecasts by users
for decision making in Europe [1]. On the other hand, there is a much
longer tradition in applying seasonal climate forecast information for
user applications in other parts of the World, notably in Africa, the USA
and Australia [1,2]; ” one notable exception” is the use of precipitation
forecasts for hydropower generation management by Electricte de
France (EDF Energy) [3,4]. In part, this is related to the relatively limited skill of S2D climate forecasts in Europe; in contrast predictability in decadal hindcasts (forecasts of the past) is greatest in the Tropics [5].
This illustrates the importance of understanding skill in user uptake
of such products [6-8]. However, accuracy, lead time, and appropriate
spatial and temporal scale of S2D climate forecast information may
not be the main (or only) factors influencing user uptake; potential
economic and environmental benefits may be of greater importance
[9]. In addition, probabilistic (ensemble) prediction systems are more
commonly used in medium-range applications, bringing additional
challenges in communicating forecast information to end-users.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Falloon, Pete and Fereday, David and Stringer, Nicky and Williams, Karina and Gornall, Jemma and Wallace, Emily and Eade, Rosie and Brookshaw, Anca and Camp, Joanne and Betts, Richard and Dankers, Rutger and Nicklin, Kathryn and Vellinga, Michael and Graham, Richard and Arribas, Alberto and MacLachlan, Craig},
biburl = {https://www.bibsonomy.org/bibtex/2158c56918b1f6b37e600e14677205441/pbett},
citeulike-article-id = {12810230},
citeulike-linkout-0 = {http://dx.doi.org/10.4172/2329-6755.1000e111},
citeulike-linkout-1 = {http://www.omicsgroup.org/journals/assessing-skill-for-impacts-in-seasonal-to-decadal-climate-forecasts-2329-6755-2-1000e111.php?aid=18791},
comment = {(private-note)PDF link from article page is correct, but text on page is actually for the next article,
https://www.omicsgroup.org/journals/thinking-of-wetland-reconstruction-and-ecological-remediation-for-shallow-lakes-2329-6755-2-1000e112.php?aid=18798, doi:10.4172/2329-6755.1000e112},
doi = {10.4172/2329-6755.1000e111},
interhash = {233134dcbe24f2437eeedd8dec8f04a5},
intrahash = {158c56918b1f6b37e600e14677205441},
journal = {Journal of Geology \& Geosciences},
keywords = {seasonal climateservices colleagues decadal KW impacts},
month = jul,
note = {Editorial},
number = 3,
pages = {1--3},
posted-at = {2013-12-02 16:02:42},
priority = {2},
timestamp = {2020-04-15T09:28:56.000+0200},
title = {Assessing Skill for Impacts in Seasonal to Decadal Climate Forecasts},
url = {http://www.omicsgroup.org/journals/assessing-skill-for-impacts-in-seasonal-to-decadal-climate-forecasts-2329-6755-2-1000e111.php?aid=18791},
volume = 2,
year = 2013
}