Abstract Downscaling aims to link the behaviour of atmosphere at fine scales properties measurable coarser scales, and has potential provide high resolution information a lower computational storage cost than numerical simulation alone. This is especially appealing for targeting convective which are edge what possible simulate operationally. Since scale weather degree independence from larger g...

Title of dissertation: INFORMATION SYNTHESIS ACROSS SCALES IN ATMOSPHERIC STATE ESTIMATION: THEORY AND NUMERICAL EXPERIMENTS Matthew Kretschmer, Doctor of Philosophy, 2015 Dissertation directed by: Professor Edward Ott Department of Physics This thesis studies the benefits of simultaneously considering system information from di↵erent sources when performing ensemble data assimilation. In parti...

Title of dissertation: INFORMATION SYNTHESIS ACROSS SCALES IN ATMOSPHERIC STATE ESTIMATION: THEORY AND NUMERICAL EXPERIMENTS Matthew Kretschmer, Doctor of Philosophy, 2015 Dissertation directed by: Professor Edward Ott Department of Physics This thesis studies the benefits of simultaneously considering system information from different sources when performing ensemble data assimilation. In part...

Article history: Received 9 September 2015 Received in revised form 20 May 2016 Accepted 15 June 2016 Available online xxxx A wide range of user groups from policy makers to media commentators demand ever more spatially detailed information yet the desired data are often not available at fine spatial scales. Increasingly, small area estimation (SAE) techniques are called upon to fill in these i...

Many downscaling algorithms have been proposed to address the issue of coarse-resolution land surface temperature (LST) derived from available satellite-borne sensors. However, few studies have focused on improving LST downscaling in urban areas with several mixed surface types. In this study, LST was downscaled by a multiple linear regression model between LST and multiple scale factors in mix...

The grid nudging technique is often used in regional climate dynamical 12 downscaling to make the simulated large-scale fields consistent with the driving fields. In this 13 study, we focused on two specific questions about grid nudging: (1) which nudged variable 14 had a larger impact on the downscaling results and (2) what was the “optimal” grid nudging 15 strategy for each nudged variable to...

Upscaling ecological information to larger scales in space and downscaling remote sensing observations or model simulations to finer scales remain grand challenges in Earth system science. Downscaling often involves inferring subgrid information from coarse-scale data, and such ill-posed problems are classically addressed using regularization. Here, we apply two-dimensional Tikhonov Regularizat...