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Results of meteorological projections disclose that the incremental trend of temperature (e.g., minimum and maximum values) and precipitation exist.
Daily meteorological projections from nine global climate models were used in the model DYRESM as the driving forces of the thermodynamics of the reservoir under study.
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A model study of heat waves over North America: meteorological aspects and projections for the twenty-first century.
Where possible we have used climate projections available from the Japanese Meteorological Agency to estimate likely future threat from changed weather.
We have analyzed long-term meteorological datasets along with regional climate model projections for the 21st century, based on the intermediate IPCC SRES scenario A1B.
The meteorological data for the baseline and the projection periods were created similarly to the method used by Adam et al. (2009).
Our analysis of meteorological data (CRU) for the 20th century and projections for the 21st century with the regional PRECIS climate model, based on the A1B scenario of the IPCC, indicate substantial climate changes in the EMME.
Across all of these dimensions, the source of the greatest uncertainty, for both nonaccidental and all-cause mortality, appears to be the projections of future climate change-induced meteorological changes and corresponding air quality changes, which are determined by the climate change air quality modeling system used.
From household survey questions that are too general to generate accurate projections, to emission factors that are sensitive to local meteorological or fuel conditions (such as wood moisture content), to poor data on emerging control strategies (such as advanced biomass cookstoves), the data used to create the results presented here have weaknesses.
A meteorological variable was declared important when 1) its variable importance in projection (VIP) was greater than 0.83 and 2) the cumulative variance explained by that meteorological observation by the top two PLSR components was at least 40%.
Figure 8 shows examples of the projection results of training data and test data for the meteorological element 'temperature on the ground'.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com