Understanding climate change with statistical downscaling and machine learning
نویسندگان
چکیده
منابع مشابه
Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region
Two statistical downscaling models, the non-homogeneous hidden Markov model (NHMM) and the Statistical Down–Scaling Model (SDSM) were used to generate future scenarios of both mean and extremes in the Tarim River basin,which were based on nine combined scenarios including three general circulation models (GCMs) (CSIRO30, ECHAM5,and GFDL21) predictor sets and three special report on emission sce...
متن کاملComparison of climate change scenarios generated from regional climate model experiments and statistical downscaling
We compare regional climate change scenarios (temperature and precipitation) over eastern Nebraska produced by a semiempirical statistical downscaling (SDS) technique and regional climate model (RegCM2) experiments, both using large scale information from the same coarse resolution general circulation model (GCM) control and 2 x COe simulations. The SDS method is based on the circulation patter...
متن کاملPrediction of Rainfall under HadCM3 and CanESM2 Climate Change Models using Statistical Downscaling Model (Case Study: Tabriz Synoptic Station)
Global climate change as a main factor affecting all ecological components, has been attended by researchers all over the world in the recent years. In this regard for simulating the rainfall, National Centers for Environmental Prediction (NCEP) data, HadCM3 data under A2 and B2 scenarios, CanESM2 data under RCP2.6, RCP4.5 and RCP8.5 scenarios were utilized. This research was performed by adopt...
متن کاملclimate change scenarios generated by using gcm outputs and statistical downscaling in an arid region
two statistical downscaling models, the non-homogeneous hidden markov model (nhmm) and the statistical down–scaling model (sdsm) were used to generate future scenarios of both mean and extremes in the tarim river basin,which were based on nine combined scenarios including three general circulation models (gcms) (csiro30, echam5,and gfdl21) predictor sets and three special report on emission sce...
متن کاملSynoptic approach to forecasting and statistical downscaling of climate parameters (Case study: Golestan Province)
The present study attempts to introduce a method of statistical downscaling with a synoptic view. The precipitation data of Golestan Province has been used for the years 1971 to 2010. Employing multivariable regression, this study models the precipitation gauges in the station scale, by making use of 26 predicting components of model HadCM3, on the basis of two A2 and B2 scenarios. However, the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Synthese
سال: 2020
ISSN: 0039-7857,1573-0964
DOI: 10.1007/s11229-020-02865-z