The uncertainties observed in estimates of forest carbon stocks demonstrate the urgent need for improved
Earth observation tools to support climate change policy development, say Isabella Bovolo and Daniel Donoghue
Not exact matches
Likewise, while models can not represent the climate system perfectly (thus the uncertainly in how much the
Earth will warm for a given amount of emissions), climate simulations are checked and re-checked against real - world
observations and are an established
tool in understanding the atmosphere.
Also in the environmental field, Ubik researchers have participated in the design of a software
tool that integrates all the information on forest cover, drought and biodiversity produced by different European systems of
Earth observation.
New
tools from data assimilation and machine learning make it possible to integrate global
observations and local high - resolution simulations in an
Earth system model (ESM) that systematically learns from both.
Paleoclimate data assimilation is emerging as a novel
tool to understand low - frequency climate dynamics, blending multi-proxy paleoclimate
observations with numerical simulations of
Earth's climate.
Simultaneously exploiting global
observations and local high - resolution simulations with the data assimilation and machine learning
tools that have recently become available presents the key opportunity for dramatic progress in
Earth system modeling.