Evaluation of CMIP5 present climate simulations using the Koppen-Trewartha climate classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10312937" target="_blank" >RIV/00216208:11320/15:10312937 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3354/cr01316" target="_blank" >http://dx.doi.org/10.3354/cr01316</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3354/cr01316" target="_blank" >10.3354/cr01316</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of CMIP5 present climate simulations using the Koppen-Trewartha climate classification

Popis výsledku v původním jazyce

We used the Koppen-Trewartha classification on the CMIP5 family of global climate model (GCM) simulations and global Climatic Research Unit (CRU) data for comparison. This evaluation provides preliminary insight on GCM performance and errors. For the overall model intercomparison and evaluation, we used 2 simple statistical characteristics: normalized error, which assesses the total relative difference of the area classified by the individual model with respect to the area resulting from CRU data, and overlap, calculating relative area of matching grid boxes in model results and CRU data. With the additional analysis of the classification on world maps, we show that there are some common features in the model results. Many models have problems capturing the rainforest climate type Ar, mainly in Amazonia. The desert climate type BW is underestimated by as many as half of the models, with Australia being a typical example of a region where the BW is not well represented. The boreal clima

Název v anglickém jazyce

Evaluation of CMIP5 present climate simulations using the Koppen-Trewartha climate classification

Popis výsledku anglicky

We used the Koppen-Trewartha classification on the CMIP5 family of global climate model (GCM) simulations and global Climatic Research Unit (CRU) data for comparison. This evaluation provides preliminary insight on GCM performance and errors. For the overall model intercomparison and evaluation, we used 2 simple statistical characteristics: normalized error, which assesses the total relative difference of the area classified by the individual model with respect to the area resulting from CRU data, and overlap, calculating relative area of matching grid boxes in model results and CRU data. With the additional analysis of the classification on world maps, we show that there are some common features in the model results. Many models have problems capturing the rainforest climate type Ar, mainly in Amazonia. The desert climate type BW is underestimated by as many as half of the models, with Australia being a typical example of a region where the BW is not well represented. The boreal clima

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Climate Research

ISSN

0936-577X

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

201-212

Kód UT WoS článku

000361549100002

EID výsledku v databázi Scopus

2-s2.0-84941649585