climatetippingpoints.info 的前十大競爭對手

global-tipping-points.org

We’d love to hear from you. Please get in touch: tippingpoints@exeter.ac.uk To receive updates, please click below and add ‘subscribe’ in the subject. Email Sign up

climateanalytics.org

Our team based in Trinidad and Tobago supports Caribbean governments to translate international climate agreements into national targets, policies and governance arrangements. Regional work focuses on research on adaptation and loss and damage, and policies for a just transition and climate justice.

stockholmresilience.org

Stockholm Resilience Centre's visiting address is Albanovägen 28 The disability accessible entrance is Albanovägen 18

pik-potsdam.de

Combination of advanced methodologies for causal impact and welfare analysis with the power of big data and machine learning to improve public policy making on pressing environmental policy challenges

climate.gov

Error 404 We're sorry, these coordinates don't compute. Enter Search Terms Or visit these popular links: News & features Tools & resources About our agency

icos-cp.eu

Standardised Greenhouse Gas Measurements throughout Europe.

esd.copernicus.org

Abstract. Forests are an important component in the framework of nature-based solutions for mitigating climate change. However, there are still uncertainties about the biogeophysical effects of forest cover changes affecting heat and water fluxes as captured by Earth System Models (ESMs) simulations and observations. In this study, we investigate the differences in the surface temperature response to idealized, complete deforestation and the temperature sensitivity to percentage change in forest cover in ESMs and observations. In this comparison, the separation between local (at the place of deforestation) and non-local (nearby or distant locations) effects is crucial as observations capture only the former. Here, we propose a modified methodology to separate local and non-local effects in climate models suitable for simulations with linear rate of deforestation. The local sensitivity of a climate variable per unit deforested area is represented by the slope of the linear regression, where tree cover is an explanatory variable. The non-local effect is defined as the difference between the overall change in the respective climate variable and the local effect. Our analysis of eleven ESMs of the Coupled Model Intercomparison Project Phase 6 (CMIP6) that participated in the idealized global deforestation experiment deforest-glob, reveals a coherent local temperature response among climate models characterized by warming in the tropics and cooling in the northern higher latitudes. The temperature response however varies in magnitude, space and time with ESMs showing distinctive seasonal and spatial patterns. A closer look at the albedo response to deforestation across northern latitudes shows an overestimation in the ESMs in comparison to observations that translates via an emergent constraint (i.e. resulting from the linear relationships between local albedo and surface temperature within the model ensemble) into an overestimation of the overall simulated cooling effec

mynasadata.larc.nasa.gov

The My NASA Data Literacy Cubes guide students’ exploration of graphs, data tables, and mapped images of NASA Earth science data (or other sources of Earth data). Leveled question sheets provide opportunities for students to connect with data, regardless of language proficiency or academic skill.

enso.info

Das ozeanisch-atmosphärische Phänomen El Niño / Southern Oscillation