Showing posts with label Long wave radiation. Show all posts
Showing posts with label Long wave radiation. Show all posts

Friday, July 17, 2015

Site Specific Long Wave Radiation budgets

Estimating the longwave radiation is certainly a relevant task for any hydrologist who deals  with snow modelling and evapotranspiration (or, BTW, is trying to assess and close the whole hydrological budget).
This paper follows another one, that was written for the shortwave counterpart, which can be found here, and uses the same toolbox of components for calibration and other tasks (see figure below, for instance).  In order to obtain the results of the paper, a new JGrass-NewAGE component was implemented and tested and documented here.
The component and the related material performs a re-parametrization of ten empirical formulas found in literature, and introduces a regression to obtain the parameterizations coefficients in any location, based on those measured in Ameriflux site.


Information on the GEOFRAME site contains also indications for running the components code, and a working example of simulation.
The R script that contains the regression of parameterisations' coefficients be found on GIThub.
The published version of the paper is here.

Friday, June 27, 2014

Long wave radiation

I have already dedicated some posts and a paper to radiation. Radiation is deemed necessary to drive evapotranspiration and snow models. However, our previous efforts were dedicated mainly to shortwave radiation. Especially Giuseppe Formetta, however, was pushing to have a solid parametrisation also for long wave radiation (a.k.a as infrared radiation). The preliminary results are shown in the talk here given at the iEMSs conference in S.Diego.

In the talk we used Ameriflux measurements to calibrate a quite long list of parameterisations. No new theory, but testing of theories developed by others, in that kind of agnostic approach suggested by the use of modelling by component, supported by OMS and used in the JGrass-NewAGE system. The same topic in a poster by Marialaura Bancheri, my youngest Ph.D., here.