<p>I strongly recoment using <a href="https://www.mathworks.com/help/matlab/ref/interp2.html" rel="nofollow noreferrer">interp2 funtion</a> from Matlab or any other equivalent in other languages. I have used it to do similar tasks.</p>

CC BY-SA 3.0
2017-06-22T20:15:55.557Z
2017-06-22T20:15:55.557Z
ouranos
<p>Merra re-analysis ara available for  a coarser horizontal grid with resolution of 0.625 × 0.5 degrees providing differents parameters : Precipitation, Temperature ....This been said, I want to interpolate continuously theses parameters ( More precisely : For each coordinate I want to know elevation, Precipitation , and other parameters ( Look the following example ).</p>

<p><strong>Time step  // Latitude // Longitude // Elevation // Precipitation  ...</strong></p>

<p>1    ................ 30    .............     -7     ..................   1500 ...................       x             x    x ....x </p>

<p>1       ...............          30.25   .........     -7   ...................     x x ..........................x</p>

<p>1  .................             31.11  .....      -6.63    ...................xx.......................X</p>

<p>If you have an idea how to interpolate these data I would be grateful.</p>

CC BY-SA 3.0
2016-08-29T23:27:46.333Z
Many people use GCMs inappropriately, in water resources analysis, which is not what GCMs are designed for. They struggle with poor accuracy, poor precision and resolution, so it is good to see Mohamed looking into the problem. Could you expand the question so that we can see where you are going with this? In down-scaling from this grid size I suggest that you pay particular attention to the variation in relief for each grid cell, and the fraction of the cell that is open water.
Gordon Stanger
<atmosphere><atmosphere-modelling><climate-models>
Interpolating Merra reanalysis
Mohamed wassim Baba
# Interpolating Merra reanalysis

(Asked by: username_0 on 2016-08-29)

Merra re-analysis ara available for a coarser horizontal grid with resolution of 0.625 × 0.5 degrees providing differents parameters : Precipitation, Temperature ....This been said, I want to interpolate continuously theses parameters ( More precisely : For each coordinate I want to know elevation, Precipitation , and other parameters ( Look the following example ).

**Time step // Latitude // Longitude // Elevation // Precipitation ...**

1 ................ 30 ............. -7 .................. 1500 ................... x x x ....x

1 ............... 30.25 ......... -7 ................... x x ..........................x

1 ................. 31.11 ..... -6.63 ...................xx.......................X

If you have an idea how to interpolate these data I would be grateful.

**Tags:** atmosphere, atmosphere-modelling, climate-models

> **Comments:**
> **username_1**: Many people use GCMs inappropriately, in water resources analysis, which is not what GCMs are designed for. They struggle with poor accuracy, poor precision and resolution, so it is good to see username_0 looking into the problem. Could you expand the question so that we can see where you are going with this? In down-scaling from this grid size I suggest that you pay particular attention to the variation in relief for each grid cell, and the fraction of the cell that is open water.  

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## 1 answers

### Answer by username_2 on 2017-06-22. Score: 1

I strongly recoment using [interp2 funtion](https://www.mathworks.com/help/matlab/ref/interp2.html) from Matlab or any other equivalent in other languages. I have used it to do similar tasks.


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