The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction
By E. Pavelin, S. English, John Eyre. 2008
138 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/4151d70cb165befd38c658c663d8fea717bc868a
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Accounting for correlated error in the assimilation of high‐resolution sounder data (2014, background): “In locations where there is detected cloud in the field of view, those channels whose temperature Jacobian matrices have 10% of their integrated value below the cloud top are rejected, as explained by Pavelin et al. (2008).”
- Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office (2013, methodology): “The Met Office performs its observational quality control in a pre-processing step (Lorenc and Hammon, 1988), including tests performed during 1D-Var retrievals (Pavelin et al., 2008).”
- The growing impact of satellite observations sensitive to humidity, cloud and precipitation (2017, methodology): “In the infrared, this followed the general approach of using clear-air information above a retrieved cloud top (Pavelin et al., 2008; Guidard et al., 2011).”
- Improved variational analyses using a nonlinear humidity control variable (2013, methodology): “The Met Office processing of satellite soundings has a separate 1D-Var step used for quality control and cloud detection (Pavelin et al., 2008); changing this to use the new transform and statistics is under consideration.”
- Satellite-Based Atmospheric Infrared Sounder Development and Applications (2017, methodology): “Based on the simplified concept of a single-layer black cloud, Pavelin et al. (2008) have implemented direct cloudy radiance assimilation based on cloud-top pressure (CTP) and effective cloud amount (ECA), estimated in the preprocessing through 1DVAR (Eyre and Menzel 1989; Li et al. 2001, 2004), to…”
- Satellite cloud and precipitation assimilation at operational NWP centres (2011, methodology): “Pavelin et al. (2008) describe how at the Met Office 1DVar is used to retrieve cloud-top pressure and effective cloud emissivity from AIRS and IASI radiances.”
- Observation errors in all‐sky data assimilation (2011, background): “…radiance observations are increasingly being assimilated into operational numerical weather prediction (NWP) systems in cloudy and precipitating areas (e.g. Bauer et al., 2006a; Pavelin et al., 2008; McNally, 2009) and there is much ongoing research (e.g. Auligné et al., 2011; Bauer et al., 2011).”