Sökning: "non-dimensional gradient functions"

Hittade 2 uppsatser innehållade orden non-dimensional gradient functions.

1. 1. Verification of the local similarity theory above forests

   Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

   Författare :Yasmin Hubmann; [2021]
   Nyckelord :Forest Meteorology; Boundary Layer Meteorology; Wind Energy; Local Similarity Theory; Monin–Obukhov Similarity Theory; Flux-Gradient Formulation; Richardson Number Formulation; Turbulence Statistic; Rotor Equivalent Wind Speed; Grenzschicht-Meteorologie; Forstmeteorologie; Windenergie; Lokale Ähnlichkeitstheorie; Monin–Obukhov’sche Ähnlichkeitstheorie; Fluss-Gradient-Ähnlichkeit; Gradient-Richardson-Zahl Beziehung; Turbulenzcharakteristiken; Rotor-äquivalente Windgeschwindigkeit; Skogsmeteorologi; Gränsskiktsmeteorologi; Vindenergi; Lokal Similaritetsteori; Monin–Obukhov Similaritetsteori; Flöd-Gradient Relation; Richardson Gradienttal Relation;

   Sammanfattning : In this study, the local similarity theory functions were calculated with two different approaches and on the other hand the mean hub height wind speed was compared with the rotor equivalent wind speed. Both calculations are based on two independent data-sets from measurement campaigns Hornamossen and Ryningsnäs which were conducted in the south of Sweden between May 2015 and June 2017, and November 2010 and February 2012. LÄS MER

3. 2. Non-dimensional gradient functions for water vapor and carbon dioxide in the marine boundary layer

   Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

   Författare :Caroline Vahlberg; [2015]
   Nyckelord :Monin-Obukhov similarity theory; non-dimensional gradient functions; water vapor; carbon dioxide; marine boundary layer; turbulent fluxes; Monin-Obukhov similaritetsteori; dimensionslösa gradientfunktioner; vattenånga; koldioxid; marina gränsskiktet; turbulenta flöden;

   Sammanfattning : A better understanding of the exchange processes taking place over the oceans is of great importance since the oceans cover about 70 % of the Earth’s surface. With better knowledge the turbulent fluxes can be more accurate parameterized, which is essential in order to improve the weather- and climate models. LÄS MER