D. Parrish

Atmospheric Science · with Derber · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Parrish trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. Bannister

Who trusts D. Parrish overall

  1. Tianfeng Chai

Papers from D. Parrish's perspective

Ordered by how strongly the researchers D. Parrish trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Met Office global four‐dimensional variational data assimilation scheme
  2. The Met. Office global three‐dimensional variational data assimilation scheme
  3. A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics
  4. JCSDA Community Radiative Transfer Model (CRTM) : version 1
  5. The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme
  6. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
  7. Correlation modelling on the sphere using a generalized diffusion equation
  8. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office
  9. A new dynamical core for the Met Office's global and regional modelling of the atmosphere
  10. Impact of Stochastic Physics in a Convection-Permitting Ensemble

Their papers