What is statistical downscaling?

Description. Downscaling is a method for obtaining high-resolution climate or climate change information. from relatively coarse-resolution global climate models (GCMs). Typically, GCMs have a resolution of 150-300 km by 150-300 km.

What is downscaling in climate impact modeling?

Downscaling is the general name for a procedure to take information known at large scales to make predictions at local scales. Dynamical downscaling requires running high-resolution climate models on a regional sub-domain, using observational data or lower-resolution climate model output as a boundary condition.

What is a downscaling model?

“Downscaling” climate models are an attempt to bridge the gap between global and local effects by layering local-level data over larger-scale climate models.

Is downscaling better than upscaling?

Upscaling has no performance impact. It is just taking the image and stretching it to fit fullscreen. Downscaling runs at the higher res so has the same amount of resources used regardless of monitor res but just squeezes the image to show on a smaller res which has the same effect as SSAA.

Why is downscaling important?

Global Climate Models (GCMs) continue to yield important scientific insights into the dynamics and evolution of the climate system on time scales ranging from months to centuries.

What is the purpose of downscaling?

Downscaling is the process of relocating coarse resolution GCM to fine spatial scale (ground station) data (Murphy, 1999; Fowler et al., 2007). Its purpose was to bring the GCM model data in closer agreement with the station level data (Maraun et al., 2010).

What are the models of global warming?

Global climate models simulate climate changes across the entire planet. These models are often referred to as GCMs because they simulate general atmospheric circulation patterns. GCMs represent atmospheric and ocean circulation in a series of equations describing physical properties of gases and fluids.

How do aerosols influence climate?

All atmospheric aerosols scatter incoming solar radiation, and a few aerosol types can also absorb solar radiation. Aerosols that mainly scatter solar radiation have a cooling effect, by enhancing the total reflected solar radiation from the Earth. Strongly absorbing aerosols have a warming effect.

Does 4K downscaled to 1080p look better than native 1080p?

Therefore, when you have 4K footage and downscale it to 1080p (Full HD), the image is going to look better than it would at native 1080p. You’ll find the picture is a lot sharper, the colors more vivid, and (depending on the properties of the image) you’ll also see less noise.

How is statistical downscaling used in climate modeling?

Statistical downscaling encompasses the use of various statistics-based techniques to determine relationships between large-scale climate patterns resolved by global climate models and observed local climate responses.

What are the different types of downscaling techniques?

Downscaling techniques can be divided into two broad categories: dynamical and statistical. Dynamical downscaling refers to the use of high-resolution regional simulations to dynamically extrapolate the effects of large-scale climate processes to regional or local scales of interest.

Can a global climate model simulate a regional climate?

Global climate models (GCMs) cannot simulate climate at the local to regional scale. RCMES utilizes the following statistical downscaling methods used in previous studies (e.g. Stoner et al. 2013 ).

How to run statistical downscaling in a terminal?

In your terminal, navigate to the Statistical Downscaling directory. Use the following command to list the files in the directory. You should be able to see the run_statistical_downscaling.py and MPI_tas_JJA.yaml. Open the MPI_tas_JJA.yaml using the following command: