SPARC Reanalysis Intercomparision Project

 

In a comprehensive review, the SPARC Reanalysis Intercomparison Project (S-RIP) activity has conducted a coordinated intercomparison of reanalysis data sets with respect to key diagnostics. The results can be used to provide guidance on the appropriate use of reanalysis products in scientific studies of relevance to SPARC and beyond.

The SPARC Reanalysis Intercomparison Project (S-RIP) Final Report, is an early online release of the final report of the SPARC S-RIP Activity. This version has been reviewed in a blind peer-review process, and type-setting has been done to produce this early version of the report. The editorial work that remains to be done will not change the content of the report.

To read the early online release of the S-RIP Final Report, click here.

Joint IPWG-GEWEX Precipitation Assessment

 

The International Precipitation Working Group (IPWG) and the GEWEX Data and Analysis Panel (GDAP) are releasing the Joint IPWG-GDAP Precipitation Assessement.

This comprehensive report reviews the current state of precipitation products, and includes assessments of sub-daily global satellite precipitation products, discussions of various climate applications of precipitation products, and deliberations on emerging directions and the future of precipitation products.

To read the report, please see WCRP publication number 2/2021 on our publications webpage.

Global Annual to Decadal Climate Update 2021-2025

There is about a 40% chance of the annual average global temperature temporarily reaching 1.5°C above the pre-industrial level in at least one of the next five years – and these odds are increasing with time, according to a new climate update issued by the World Meteorological Organization (WMO).

There is a 90% likelihood of at least one year between 2021-2025 becoming the warmest on record, which would dislodge 2016 from the top ranking, according to the Global Annual to Decadal Climate Update, produced by the United Kingdom’s Met Office, the WMO lead centre for such predictions.