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Fix table formatting in user guide
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docs/user_manual/user_manual_03_fortran_modules.md

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@@ -553,11 +553,9 @@ three raw data sets and are described in more detail in
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| | 32 | LCZ9: sparsely built |
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| | 33 | LCZ10: heavy industry |
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<center>
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*Table 4: Land-use classes for the different raw data sets. The Corine
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LandCover (CLC) classes in the left column indicate how the CLC is
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mapped to the corresponding GlobCover class.*
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</center>
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After the allocation of the data a check is performed to query, if the
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user desires a domain that goes beyond the southern bound of the raw
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associated lookup table names in
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[Table 5](#tab:look_up_table).
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<center>
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<a name="tab:look_up_table"></a>
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**Raw Data** | **Integer** | **Setting** | **Name of the lookup table**
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*Table 5: Names of the lookup tables and the different possible settings for
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each raw land-use data set.*
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</center>
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*The following paragraphs describe computations on the raw data grid.*
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@@ -627,7 +623,6 @@ The lookup table is then fed with the land use class, which gives a
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value for all the target fields listed in
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[Table 6](#tab:target_fields_lu).
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<center>
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<a name="tab:target_fields_lu"></a>
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**Variable long name** | **Variable short name**
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Roughness length | Z0
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*Table 6: The variables that are computed using the raw land-use data.*
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</center>
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The number of grid points that fall into the same target grid and land
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use class are summed up. The values of the target fields are weighted
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LCZ look-up tables are based on the values published in
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[@Stewart2012; @Stewart2014].
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<center>
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<a name="tab:terra_urb"></a>
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**Variable name** | **Description**
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URB_HCAP | Urban mean heat capacity
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*Table 7: Varialbes provided by the TERRA-URB module*
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</center>
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### Used namelist files and data in-/output
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@@ -846,7 +838,6 @@ contain any raw data points, the nearest neighbor in the raw data is
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defined. If the target grid point is outside the raw data grid the slope
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is defined as zero and the texture as undefined.
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<center>
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<a name="tab:soil_types_FAO"></a>
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**TERRA Code** | **Soiltype** | **raw data code**
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9 | **water** | 9000 (undefined: inland water), -9 (undefined: ocean)
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*Table 9: TERRA soiltypes and their respective FAO raw data codes.*
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</center>
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#### Aggregation of the HWSD data to the target grid
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@@ -883,7 +873,6 @@ specified in [Table 10](#tab:soil_types_HWSD), are packed in the variable `SOILT
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the normal soiltypes are given in fractions of sand, silt, clay and
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organic carbon, and the bulk density is also given.
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<center>
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<a name="tab:soil_types_HWSD"></a>
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**TERRA Code** | **Soiltype** | **TERRA Code** | **Soiltype**
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7 | clay
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*Table 10: New TERRA soiltypes deduced from the HWSD data.*
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</center>
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#### Output of the soil data
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@@ -1130,7 +1118,6 @@ points is desired the number_special_points must be set to zero (see
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desired at all, the integer switch i_lsm_treatment can be set to 1
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instead of 2.
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<center>
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<a name="tab:number_special_points"></a>
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**number_special_points** | **Treatment of special points**
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3 | special treatment of Falkenberg, Waldstation and Lindenberg
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*Table 11: Usage of the namelist parameter number_special_points.*
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</center>
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#### Reduced main memory usage
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docs/user_manual/user_manual_04_python_modules.md

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@@ -421,7 +421,6 @@ different types of AOT.
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The remapping to the target grid uses the *bilinear* interpolation. No
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other processing steps take place.
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<center>
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<a name="tab:aerosol"></a>
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**Raw data set** | **resolution**
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AeroCom | 1 x 1 degree
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*Table 8: Resolution of raw data-sets for aerosol optical depths.*
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</center>
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### Used namelist files and data in-/output:
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