Cooperative Institute for Research in the Atmosphere

About: Cooperative Institute for Research in the Atmosphere is a based out in . It is known for research contribution in the topics: Snow & Data assimilation. The organization has 332 authors who have published 997 publications receiving 38835 citations. The organization is also known as: CIRA.

Semi-Lagrangian methods on a sphere

Abstract: All of the theory so far has been for the semi-Lagrangian methods in Cartesian coordinates. However, there are many geophysical processes that have to be modeled in spherical coordinates of some form. In this chapter we shall introduce semi-Lagrangian development on the sphere. As such this chapter comprises two parts: the first is associated with introducing how the vector calculus transfers to spherical coordinates, projections, numerical grids, as well as introducing the theory for spectral methods. The second part is associated with how semi-Lagrangian theory is applied to different models in spherical coordinates in multiple dimensions, where we will present finite difference and finite volume approaches, as well as semi-Lagrangian methods with spectral methods.

Stability and consistency analysis of semi-Lagrangian methods for the linear problem

Abstract: In this chapter we shall discuss the damping and amplifying properties of the different interpolations schemes that were introduced in the last chapter; we will present how to determine these properties, as we did for the Eulerian based finite difference schemes. We shall also look at consistency, as well as conditions for stability and the order of convergence, of the different interpolation schemes. We shall see if there are restrictions on the size of the grid and time spacings for the different forms of interpolation polynomials, as well as examine the damping effect the different polynomials have on different wavenumbers.

Multiple Satellite Microwave Retrieval of Tropical Cyclone Rain Rate and Warm Core Structure

Abstract: Rain and temperature retrievals from a common algorithm based on microwave sensors onboard five polar orbiting satellites are included to study tropical cyclone (TC) rain rate characteristics and warm core structure. The retrieval algorithm used here is NOAA’s operational Microwave Integrated Retrieval System (MiRS). The five satellites/sensors are S-NPP/ATMS, NOAA-20/ATMS, Metop-B/AMSUA-MHS, Metop-C/AMSUA-MHS, and GPM/GMI. Hurricane Florence occurred, which occured in the Atlantic basin in 2018, is chosen as the study case. Hurricane Matthew in 2016 (before NOAA-20 and Metop-C were launched) is also included to illustrate warm core structure retrieved by MiRS.

Multi-disciplinary approaches to water systems: introduction to the special column

Abstract: 1 ESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USA 2 Cooperative Institute for Research in the Atmosphere, Fort Collins, CO 80523-1375, USA 3 Natural Resources Ecology Laboratory, Fort Collins, CO 80523-1499, USA 4 Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Nature Resources, School of Geographical Sciences, Southwest University, Chongqing 400715, China