A reanalysis is a physically consistent set of optimally merged simulated model states and
historical observational data, using data assimilation. High computational costs for modeled …

The long observational record is critical to our understanding of the Earth's climate, but most
observing systems were not developed with a climate objective in mind. As a result …

Remote sensing techniques are increasingly used for studying ecosystem dynamics,
delivering spatially explicit information on the properties of Earth over large spatial and multi …

There is an unprecedented array of new satellite technologies with capabilities for
advancing our understanding of ecological processes and the changing composition of the …

Published by the American Geophysical Union as part of the Geophysical Monograph
Series, Volume 114. Our understanding of biogeochemical cycles is directly related to the …

Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations
using data assimilation to give a four-dimensional description of the ocean. Metrics …

The global carbon cycle is an important component of the Earth system and it interacts with
the hydrology, energy and nutrient cycles as well as ecosystem dynamics. A better …

Land surface phenology (LSP) is a key indicator of ecosystem dynamics under a changing
environment. Over the last few decades, numerous studies have used the time series data of …

We develop an efficient data assimilation system that aims at quantifying the uncertainties of
various biogeochemical states and parameters. We explore the use of four different …

We present the concept of the Carbon Cycle Data Assimilation System and describe its
evolution over the last two decades from an assimilation system around a simple diagnostic …