Feasibility of a 100-Year Reanalysis Using Only Surface Pressure Data

By Gilbert P. Compo, J. Whitaker, P. Sardeshmukh. 2006

425 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/3f3cb3d6715cdef846191d5672a018dc5654f2ab

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Citations in the corpus

The ERA5 global reanalysis (2020, methodology): “The production of such a model-based reanalysis that extends back more than one century was first pursued in the 20CR Project (Compo et al., 2006) at NOAA's Earth Systems Research Laboratory, where a reanalysis spanning the period 1871–2010 was conducted (Compo et al., 2011).”
The Twentieth Century Reanalysis Project (2009, methodology): “(2) below), as described in Whitaker et al. (2004) and Compo et al. (2006), and is based on the ‘Ensemble Square Root Filter’ algorithm of Whitaker and Hamill (2002).”
Ensemble Data Assimilation with the NCEP Global Forecast System (2008, methodology): “Whitaker et al. (2004) and Compo et al. (2006) showed that EDA are well-suited to the problem of historical reanalysis, since the flow-dependent background error estimates they provide are especially important when observations are sparse (Hamill and Snyder 2000).”
A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations (2009, methodology): “Only surface pressure observations are assimilated, because reliable measurements are available for the entire twentieth century and because they provide more information about the large-scale tropospheric circulation than do observations of surface temperature or wind (Compo et al. 2006).”
Reanalyses Suitable for Characterizing Long-Term Trends (2010, background): “The twentieth-century reanalysis (Compo et al. 2006), which ingests solely surface observational data (specifically surface pressure and SST), goes some way toward this end but still has an order of magnitude increase in station count over the period of record that is likely to have an impact on hom”
Toward Elimination of the Warm Bias in Historic Radiosonde Temperature Records—Some New Results from a Comprehensive Intercomparison of Upper-Air Data (2008, methodology): “We welcome data assimilation efforts from the early 1930s onward, such as performed by Compo et al. (2006).”
Impact of ENSO on the Atmospheric Variability over the North Atlantic in Late Winter—Role of Transient Eddies (2012, methodology): “This dataset is based primarily on the assimilation of surface pressure observations before the radiosonde era, and has been demonstrated to yield an adequate depiction of the large-scale tropospheric circulation features (Whitaker et al. 2004; Compo et al. 2006).”