Yang, A. (613/Intern), Q. Tan (GSFC), C. Rajapakshe (613/UMBC), M. Chin (614/GSFC), and H. Yu (GSFC), 2022. "Global Premature Mortality by Dust and Pollution PM2.5 Estimated from aerosol reanalysis of the modern-era retrospective analysis for research and applications, version 2," Front. Environ. Sci., https://doi.org/10.3389/fenvs.2022.975755. 

Dandridge, C., T. Stanley (617/UMBC), D. Kirschbaum (617/GSFC), P. Amatya (617/UMBC), and V. Lakshmi, 2022. "The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin," Natural Hazards, https://doi.org/10.1007/s11069-022-05604-4.

Satellite precipitation programs often emphasize the need for (a) validating products and (b) reporting uncertainties that are essential for the proper adoption of these products. This has resulted in a long list of validation efforts and campaigns dating back to the earliest VIS/IR products and generally compare in-situ precipitation to the equivalent satellite product for a specific mission. When these studies are viewed not as individual efforts or campaigns, but in their totality, however, it becomes fairly obvious that satellite products have very different validation statistics in different regions and time periods.  That is, satellite products have a large dependence on the atmospheric state that is neither random nor systematic but varies with meteorological regimes.  This is the direct result of the under-constrained nature of cloud and precipitation retrievals that must be dealt with to project validation results from one region or one regime to another. While sensors with greater information content and algorithms that more fully exploit all available information can ameliorate this problem, they cannot eliminate it. This talk will illustrate these points, and make a case for a new, state-dependent validation approach that can lead to credible predictions of products and their uncertainties in areas that lack conventional data.

From the agenda:

"Science and Society for Sustainable Development, a world initiative by the Royal Academy of Science International Trust (RASIT), is a multi-stakeholder dialogue platform for identifying conditions and tools to put Science, Technology, and Innovation at the heart of sustainable development programs, international relations, and public and private sectors strategies.

With great momentum and interest in the role science education can play to accelerate the socio-economic sustainable development, RASIT's Science and Society for Sustainable Development World Initiative will hold the first High-Level Forum, in the Spanish Language, ... on the Margin of Transforming Education Summit and the United Nations General Assembly High-Level Week. The Forum, to be held at the United Nations Headquarters virtually, seeks to bridge between the International Community and Spanish-speaking youth, experts, and professionals to link their knowledge and expertise and its applications in a systematic, critical way for the 2030 agenda and its 17 global goals.

The Forum further aims to consider language balance - whether spoken language, Braille, or sign language - in the International Community activities whether when inviting youth, expert, or a speaker, to ensure everyone is given a similar and equal opportunities at the International Community.

On 9th September 2022, Spanish-speaking youth, experts, scientists, high-level government officials, representatives of international organizations and the private sector will meet at the UN Headquarters virtually, to discuss "Leveraging interlinkages between SDGs 6 and 14 with other Goals towards the implementation of the 2030 Agenda" and achieving its three pillars, namely economic prosperity, social justice, and environmental integrity."

"This event will be in-person with a facial mask as a requirement. Because we are not completely out of the Pandemic yet, all participants will be required to wear facial masks in the building during the event (except for medical exemptions)."