Search results (1,338)

Likely Climate Outlook Asia: July to April Overview 4 Global Outlook - Temperature Outlook: 3-Month Outlook November to January - Temperature The current La Niña event, which is likely to persist into the spring, will strongly influence global temperature variations in the coming months. Many parts

. Much More Likely Below Normal Near-Normal Above Normal Likely Likely Much More Likely Climate Outlook Asia: February to November Overview 5 Global Outlook - Rainfall Outlook: As described in the temperature section, the influences of the recent La Niña is reduced in the forecast and predictability

Ocean carbon and biogeochemical cycles influence climate on a range of timescales.

move into the future. By better understanding the changing distribution of carbon between the oceans and atmosphere we can improve our capacity to predict future climate, and calculate whether different emissions scenarios might allow us to meet greenhouse gas targets. Our marine biogeochemical

monsoon climate (Gadgil and Sajini, 1998; Kang et al., 2002; Wang et al., 2004b, 2005; Rajeevan and Nanjundiah, 2009). Furthermore, GCMs are often run at a very coarse resolution to depict the influence of complex topography on regional climate dynamics. As a result, “GCMs cannot access the spatial

and groups are at risk of being excluded based on their identity. Regional and country-specific context will influence how and which groups are most marginalised. Among the most common group identities resulting in exclusion, it is possible to list, for instance, gender, age, sexual orientation, race

Met Office Global deterministic 10km DESCRIPTION The flagship Numerical Weather Prediction model developed and used at the Met Office, is the Unified Model, the same model is used for both weather and climate prediction. For weather forecasting the Met Office runs several configurations

Met Office UK deterministic 2km DESCRIPTION The flagship Numerical Weather Prediction (NWP) model developed and used at the Met Office, is the Unified Model, the same model is used for both weather and climate prediction. For weather forecasting the Met Office runs several configurations

evaluation and development across timescales WP Leads: Jeff Knight and Douglas Boyd (Met Office), Jessica Steinkopf (Wits) and Stephanie Landman (SAWS) WP2 continues to build new modelling capability and evaluate regional processes that influence South African weather and climate across timescales

Dissemination Strategy for WISER ENACTS Implementing Countries 5 th March 2018 Contributors Madeleine Thomson John del Corral Tufa Dinku Pamela Jordan Aisha Owusu Yohana Tesfamariam Tekeste Jeff Turmelle International Research Institute for Climate and Society, Columbia University, New York

, and now having returned to close to pre-pandemic levels. Our forecast assumes total annual global emissions of 11.5 GtC, the same as in 2019. Our prediction of a smaller atmospheric CO2 rise this year is due to natural climate variability being expected to temporarily strengthen natural carbon