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Modelling key parameters characterising land surface using the SimSphere SVAT model

Petropoulos Georgios, Christopoulos Dionysios, Suman Swati, North Matthew R., Srivastava Prashant K., Fuzzo Daniela Silva, Carlson Toby N.

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URIhttp://purl.tuc.gr/dl/dias/C440528C-BDDF-4319-85B1-61581CEDAFE8-
Identifier9780128123621-
Identifierhttps://www.sciencedirect.com/science/article/pii/B9780128123621000205-
Identifierhttps://doi.org/10.1016/B978-0-12-812362-1.00020-5-
Languageen-
Extent33 pagesen
TitleModelling key parameters characterising land surface using the SimSphere SVAT modelen
CreatorPetropoulos Georgiosen
CreatorΠετροπουλος Γεωργιοςel
CreatorChristopoulos Dionysiosen
CreatorΧριστοπουλος Διονυσιοςel
CreatorSuman Swatien
CreatorNorth Matthew R.en
CreatorSrivastava Prashant K.en
CreatorFuzzo Daniela Silvaen
CreatorCarlson Toby N.en
PublisherAcademic Pressen
DescriptionBook Chapteren
Content SummaryThe present study investigates the ability of SimSphere, a soil vegetation atmosphere transfer model, to predict key parameters in characterising land surface interactions. In particular, the model's performance in predicting Net Radiation (Rnet), Latent Heat (LE) and Sensible Heat (H) was examined. For this purpose, concurrent in-situ measurements of the corresponding parameters for a total of 70 days of the year 2011 from seven CarboEurope network sites were acquired, incorporating a variety of environmental biomes and climatic conditions in the model evaluation. In overall, SimSphere was largely able to accurately predict the variables against which it was evaluated for most of the experimental sites. Statistical analysis showed highest agreement of H fluxes to the measured in-situ values for all ecosystems, with an average root mean square difference of 55.36 Wm−2. Predicted latent fluxes and Rnet also agreed well with the corresponding in-situ data with RSMDs of 62.75 and 64.65 Wm−2, respectively. Our findings contribute towards a better understanding of the model structure, functioning and its correspondence to the real-world system. They also further establish its capability as a useful teaching and research tool in modelling Earth's land surface interactions. This is important given its increasing use, including its synergies with Earth observation data.en
Type of ItemΚεφάλαιο σε Βιβλίοel
Type of ItemBook Chapteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-12-28-
Date of Publication2020-
SubjectLand surface processesen
SubjectCarboEuropeen
SubjectHydrology modelsen
SubjectEarth observationen
SubjectSimSphereen
SubjectSVATen
SubjectValidationen
Bibliographic CitationS. Suman, M.R. North, G. P. Petropoulos, P.K. Srivastava, D.T. Hristopulos, D. S. Fuzzo, and T. N. Carlson, "Modelling key parameters characterising land surface using the SimSphere SVAT model," in Agricultural Water Management : Theories and Practices, P.K. Srivastava, M. Gupta, G. Tsakiris, N.W. Quinn, Eds. Cambridge, Massachusetts: Academic Press, 2020. pp. 409-442. doi: 10.1016/B978-0-12-812362-1.00020-5en
Book TitleAgricultural Water Management: Theories and Practicesen
Book Edition1-
Book Seriesen

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