Climate field reconstructions (CFRs) combine modern observational data with paleoclimatic
proxies to estimate climate variables over spatiotemporal grids during time periods when …

Annual-to-decadal variability in northern midlatitude temperature is dominated by the cold
season. However, climate field reconstructions are often based on tree rings that represent …

Projected changes in atmospheric blocking and associated extreme weather are marked by
considerable uncertainties. While paleoclimate records could help reduce these …

Ice core oxygen isotope (δ18O) records from low-latitude regions preserve high-resolution
climate records in the past, yet the interpretation of these ice core δ18O records is still facing …

Data assimilation (DA) has been applied to estimate the time‐mean state, such as annual
mean surface temperature for paleoclimate reconstruction. There are two types of DA for this …

Climate field reconstruction (CFR) refers to the estimation of spatiotemporal climate fields
(such as surface temperature) from a collection of pointwise paleoclimate proxy datasets …

Improved understanding of the drivers of climate variability, particularly over the last
millennium, and its influence on Antarctic ice melt have important implications for projecting …

Strongly coupled data assimilation (SCDA), such as using atmospheric observations to
update ocean analyses, is critical for properly initializing Earth System models to predict …

For Paleoclimate data assimilation (PDA), a hybrid gain analog offline ensemble Kalman
filter (HGAOEnKF) is proposed. It keeps the benefits of the analog offline ensemble Kalman …

Precipitation changes in the East Asia are closely linked to the monsoonal climate in this
region and the hydrothermal processes in the western tropical Pacific. However, trends of …