Olson land map

On this page we discuss the land map from Jennifer Olson that is currently used by the GEOS-Chem Dry deposition and Soil NOx emissions modules.

Olson 1992 land map

The Olson 1992 land map is currently used in GEOS-Chem versions up to and including v9-01-03.

Overview

The GEOS-Chem Dry deposition and Soil NOx emissions modules rely on the Olson (1992) land map. This map specifies 74 different land types on the 0.5° x 0.5° GENERIC GRID, which is defined by:

Lon centers = -179.75, -179.25, -178.75, -178.25, ... 178.25, 178.75, 179.25, 179.75
Lat centers =  -89.75,  -89.25,  -88.75,  -88.25, ...  88.25,  88.75,  89.25,  89.75

The Olson 1992 map contains 74 individual land types:

  0 Water              25 Deciduous           50 Desert
  1 Urban              26 Deciduous           51 Desert
  2 Shrub              27 Conifer             52 Steppe
  3 ---                28 Dwarf forest        53 Tundra
  4 ---                29 Trop. broadleaf     54 rainforest
  5 ---                30 Agricultural        55 mixed wood/open
  6 Trop. evergreen    31 Agricultural        56 mixed wood/open
  7 ---                32 Dec. woodland       57 mixed wood/open
  8 Desert             33 Trop. rainforest    58 mixed wood/open
  9 ---                34 ---                 59 mixed wood/open
 10 ---                35 ---                 60 conifers
 11 ---                36 Rice paddies        61 conifers
 12 ---                37 agric               62 conifers
 13 ---                38 agric               63 Wooded tundra
 14 ---                39 agric.              64 Moor
 15 ---                40 shrub/grass         65 coastal
 16 Scrub              41 shrub/grass         66 coastal
 17 Ice                42 shrub/grass         67 coastal
 18 ---                43 shrub/grass         68 coastal
 19 ---                44 shrub/grass         69 desert
 20 Conifer            45 wetland             70 ice
 21 Conifer            46 scrub               71 salt flats
 22 Conifer            47 scrub               72 wetland
 23 Conifer/Deciduous  48 scrub               73 water
 24 Deciduous/Conifer  49 scrub

which are plotted here. Only one land type is assigned to each 0.5° x 0.5° grid box.

--Bob Y. 10:12, 22 March 2012 (EDT)

Preparation of input files for GEOS-Chem

The raw Olson 1992 land map data are stored in the file owe14d.0.5 (which is now archived in Bob Yantosca's disk space). This was an ASCII file containing 20 integer values per line (Fortran format '(20i4)').

The IDL routine REGRIDH_LAI (which is distributed as part of the GAMAP package) was used to prepare the Olson land map for input into GEOS-Chem. REGRIDH_LAI read these files as input:

1. owe14d.0.5: Olson land map file at 0.5° x 0.5° resolution
2. lai_all.dat: leaf area index data at 1° x 1° resolution

and created these files as output:

1. vegtype.global: Olson land map indices, on the GEOS-Chem grid
2. laiMM.global: leaf area index files, on the GEOS-Chem grid (MM = 01 .. 12)

Therefore, REGRIDH_LAI had to be called several times in order to create the proper vegtype.global files for each different GEOS-Chem grid configuration. (4° x 5°, 2° x 2.5°, and the 0.5° x 0.666° nested grids).

NOTE: The original leaf area index data (in file lai_all.dat has now been supplanted by those from the MODIS satellite instrument.

Structure of the vegtype.global file

As mentioned above, each GEOS-Chem grid configuration required its own vegtype.global file. The vegtype.global file contained the following information:

1. GEOS-Chem grid box longitude index (I)
2. GEOS-Chem Grid box latitude index (J)
3. Number of Olson land types (at 0.5° x 0.5° resolution) that fit inside the GEOS-Chem grid box (I,J)
4. List of indices of all Olson land types that fit inside the GEOS-Chem grid box (I,J)
5. Fraction (in mils) of the GEOS-Chem grid box covered by each Olson land type

Each of these quantities was represented as an integer value (with 20 integer values per line). Therefore, a quick look at the 4° x 5° vegtype.global file would reveal the following text:

 ...
 20  13   1   01000
 21  13   1   01000
 22  13   5   0  41  24  31  67 811  25  62  76  26
 23  13   4  41  24  52  31 137 175 650  38
 24  13   5  52   8   0  41  31 589  62 298  25  26
 ... etc.

From the snippet of the vegtype.global file shown above, we would deduce that

GEOS-Chem grid box	has this many Olson land types	with indices	which cover this % of the box
(20,13)	1	0	100%
(21,13)	1	0	100%
(22,13)	5	0, 41, 24, 31, 67	81.1%, 2.5%, 6.2%, 7.6%, 2.6%, respectively
(23,13)	4	41, 24, 52, 31	13.7%, 17.5%, 65.0%, 3.8%, respectively
(24,13)	5	52, 8, 0, 41, 31	58.9%, 6.2%, 29.8%, 2.5% and 2.6%, respectively

GEOS-Chem routine rdland.F reads the information from the vegtype.global into the following arrays:

Array	Quantity	Where used
IREG( I, J )	Number of Olson land types per GEOS-Chem grid box (i.e. Column #2 in the table above)	Soil NOx emissions
ILAND( I, J, 1:IREG(I,J) )	List of Olson land type indices per each GEOS-Chem grid box (i.e. Column #3 in the table above)	Soil NOx emissions
IUSE( I, J, 1:IREG(I,J) )	Fraction (in mils) of the GEOS-Chem grid box covered by each Olson land type (i.e. Column #4 in the table above)	Soil NOx emissions
IJREG( IJLOOP )	Same data as in IREG, but with 1 spatial dimension	Dry deposition
ILAND( IJLOOP, 1:IJREG(I,J) )	Same data as in ILAND, but with 1 spatial dimension	Dry deposition
IJUSE( IJLOOP, 1:IJREG(I,J) )	Same data as in IUSE, but with 1 spatial dimension	Dry deposition
FRCLND( I, J )	Fraction of each GEOS-Chem grid box that is not water (computed from IUSE)	Several locations

NOTES:

1. The reason why there are two sets of arrays (IREG, ILAND, IUSE) and (IJREG, IJLAND, IJUSE) is purely historical baggage. This usage dates back to the original Harvard/GISS CTM, from which we obtained the GEOS-Chem dry deposition and soil NOx emissions modules. The dry deposition routine DEPVEL takes 1-D vectors of size IIPAR*JJPAR as its spatial dimension, instead of using 2 separate spatial dimensions. Nobody has undertaken to rewrite this code since.

   • UPDATE (21 May 2012): In v9-01-03j, we have since modified GEOS-Chem module drydep_mod.F in order to remove the redundant IJREG, IJLAND, and IJUSE arrays. The same information is now obtained directly from arrays IREG, ILAND, and IUSE.

2. The Olson land types in the vegtype.global file are not listed by ascending order. Instead, the Olson land types in a GEOS-Chem grid box are listed by the order in which they are first found (searching by 0.5° x 0.5° longitudes first, then latitudes). It is important to keep this ordering so that the leaf area index data that is read in from disk will correspond properly to the Olson land types.

   • UPDATE (21 May 2012): As described in this section, we have developed a new GEOS-Chem module olson_landmap_mod.F90 that reads the Olson land map information from disk and populates the IREG, ILAND, and IUSE for backwards compatibility with existing code.

3. The FRCLND array is used in many locations within GEOS-Chem. It is computed by subtracting off the fraction of each GEOS-Chem grid box that is covered by land type 0 (water).

--Bob Y. 14:40, 21 May 2012 (EDT)

Olson 2001 land map

The Olson 2001 land map shall replace the Olson 1992 land map in GEOS-Chem.

Overview

At present, GEOS-Chem still uses the Olson 1992 land map. We shall implement the new Olson 2001 land map (which has a native resolution of 1km x 1km, but has been binned to 0.25° x 0.25° by Eloise Marais) for the GEOS-FP met fields (in order to facilitate the SEAC⁴RS campaign). Eventually, Olson 2001 shall replace Olson 1992 for all met field configurations in GEOS-Chem.

The Olson 2001 land map is described in this online document.

Eloise Marais wrote:

The Olson 2001 landcover map is at a native resolution of 1km x 1km. I've identified the dominant vegetation types in each 0.25° x 0.25° degree gridbox and use this as input to GEOS-Chem.

The Olson 2001 landcover map also has 96 vegetation types compared with 74 for Olson 1992. For the most part vegetation types 75-96 are either not dominant vegetation types at 0.25° x 0.25° or they are crop types that I lump with other similar vegetation types (either crops or mixed forest/field vegetation). Therefore, the rebinned Olson 2001 landcover data set at 0.25° x 0.25° degrees has 74 vegetation types (adhering to the same indexing as in Olson 1992).

There are also new vegetation types that are defined in the Olson 2001 data set from 1-74 that were previously listed as "not used" in drydep.table. These are assigned appropriate deposition ID # and z0 values.

Vegetation types that are listed as "not used" in the updated drydep.table dataset are those that are not dominant at 0.25° x 0.25°, but may be present in the 1km x 1km data set.

The largest differences to O3 dry deposition flux for a 1-day run in June 2007 at 4x5 degree resolution include the US, and the western portion of South America.

The table below shows the translation between the Olson 2001 and Olson 1992 land maps:

	Olson 2001				Olson 1992 	# in
LC #	Description		        	Equivalent      Dry deposition
==============================================================================
1	Urban					1		2
2	Low Sparse Grassland			2		3
3	Coniferous Forest			3		4
4	Deciduous Conifer Forest		4		5
5	Deciduous Broadleaf Forest		5		6
6	Evergreen Broadleaf Forests		6		7
7	Tall Grasses and Shrubs			7		8
8	Bare Desert				8		9
9	Upland Tundra				9		10
10	Irrigated Grassland			10		11
11	Semi Desert				11		12
12	Glacier Ice				12		13
13	Wooded Wet Swamp			13		14
14	Inland Water				0		1
15	Sea Water				0		1
16	Shrub Evergreen				16		17
17	Shrub Deciduous				18		19
18	Mixed Forest and Field			none present	
19	Evergreen Forest and Fields		19		20
20	Cool Rain Forest			20		21
21	Conifer Boreal Forest			21		22
22	Cool Conifer Forest			22		23
23	Cool Mixed Forest			23		24
24	Mixed Forest				24		25
25	Cool Broadleaf Forest			25		26
26	Deciduous Broadleaf Forest		26		27
27	Conifer Forest				27		28
28	Montane Tropical Forests		28		29
29	Seasonal Tropical Forest		29		30
30	Cool Crops and Towns			30		31
31	Crops and Town				31		32
32	Dry Tropical Woods			32		33
33	Tropical Rainforest			33		34
34	Tropical Degraded Forest		34		35
35	Corn and Beans Cropland			35		36
36	Rice Paddy and Field			36		37
37	Hot Irrigated Cropland			37		38
38	Cool Irrigated Cropland			38		39
39	Cold Irrigated Cropland			none present	
40	Cool Grasses and Shrubs			40		41
41	Hot and Mild Grasses and Shrubs		41		42
42	Cold Grassland				42		43
43	Savanna (Woods)				43		44
44	Mire, Bog, Fen				44		45
45	Marsh Wetland				45		46
46	Mediterranean Scrub			46		47
47	Dry Woody Scrub				47		48
48	Dry Evergreen Woods			none present	
49	Volcanic Rock				none present	
50	Sand Desert				none present	
51	Semi Desert Shrubs			51		52
52	Semi Desert Sage			52		53
53	Barren Tundra				53		54
54	Cool Southern Hemisphere Mixed Forests	54		55
55	Cool Fields and Woods			55		56
56	Forest and Field			56		57
57	Cool Forest and Field			57		58
58	Fields and Woody Savanna		58		59
59	Succulent and Thorn Scrub		59		60
60	Small Leaf Mixed Woods			60		61
61	Deciduous and Mixed Boreal Forest	61		62
62	Narrow Conifers				62		63
63	Wooded Tundra				63		64
64	Heath Scrub				64		65
65	Coastal Wetland, NW			none present	
66	Coastal Wetland, NE			none present	
67	Coastal Wetland, SE			none present	
68	Coastal Wetland, SW			none present	
69	Polar and Alpine Desert			69		70
70	Glacier Rock				none present	
71	Salt Playas				none present	
72	Mangrove				72		73
73	Water and Island Fringe			none present	
74	Land, Water, and Shore (see Note 1)	none present	
75	Land and Water, Rivers (see Note 1)	none present	
76	Crop and Water Mixtures			36		37
77	Southern Hemisphere Conifers		none present	
78	Southern Hemisphere Mixed Forest	32		33
79	Wet Sclerophylic Forest			26		27
80	Coastline Fringe			none present	
81	Beaches and Dunes			none present	
82	Sparse Dunes and Ridges			none present	
83	Bare Coastal Dunes			none present	
84	Residual Dunes and Beaches		none present	
85	Compound Coastlines			none present	
86	Rocky Cliffs and Slopes			none present	
87	Sandy Grassland and Shrubs		none present	
88	Bamboo					none present	
89	Moist Eucalyptus			26		27
90	Rain Green Tropical Forest		33		34
91	Woody Savanna				43		44
92	Broadleaf Crops				29		30
93	Grass Crops				41		42
94	Crops, Grass, Shrubs			41		42
95	Evergreen Tree Crop			33		34
96	Deciduous Tree Crop			33		34

The rebinned Olson 2001 land types at 0.25° x 0.25° resoluiton (74 land types total) are plotted here:

--Bob Y. 13:16, 4 February 2014 (EST)

Implementation notes

Adoption of the Olson 2001 land map requires the following updates to the GEOS-Chem source code & input files:

1. Parameter NNNTYPE in drydep_mod.F needs to be increased from 15 to 25.

   • UPDATE (21 May 2012): Parameter NNNTYPE was removed from v9-01-03j (17 Apr 2012). It is replaced by parameter NNTYPE in CMN_SIZE_mod.F.

2. Parameter NTYPE in CMN_SIZE_mod.F needs to be incresaed from 15 to 25.

   • UPDATE (21 May 2012): This was done in v9-01-03j (17 Apr 2012)

3. Parameter NNNVEGTYPE can be unchanged (it currently = 74). The rebinned Olson 2001 map at 0.25° x 0.25° uses the same indexing as Olson 1992.

   • UPDATE (21 May 2012): Parameter NNNVEGTYPE was removed from v9-01-03j (17 Apr 2012). It is replaced by parameter NNVEGTYPE in CMN_SIZE_mod.F.

4. A corresponding new drydep.table needs to be adopted for the Olson 2001 land map.

   • UPDATE (21 May 2012): This has been done in v9-01-03j (17 Apr 2012).

Also, we will not create vegtype.global files for the Olson 2001 land map, but will instead compute the corresponding values of the IREG, IUSE, ILAND, etc. arrays on-the-fly, as described in the next section.

1. The dominant changes in going from the Olson 1992 to the Olson 2001 include additional crops not previously defined in Olson 1992 that vary from tree crops to grass crops. Another difference is a further subdivision of torpcial type vegetation into degraded vegetation and mixed forest and fields. These differences account for the discrepancies between Olson 1992 and Olson 2001 dry deposition rates in the figures found here on the Leaf area indices in GEOS-Chem page.
2. The most appropriate dry deposition ID (that similar to the Olson 1992 landcover types) and correspondingly dry deposition parameters are assigned to the new vegetation types that are included in Olson 2001.

--Emarais 16:47, 13 April 2012 (EDT)
--Bob Y. 14:23, 21 May 2012 (EDT)

Updates to dry deposition when using the Olson 2001 land map

This update was tested in the 1-month benchmark simulation GEOS-Chem v10-01a and approved on 05 Feb 2014.

Patrick Kim implemented updates to improve dry deposition of ozone when using the Olson 2001 land map. For a full description, please see this post on our Dry deposition wiki page.

--Melissa Sulprizio 17:45, 3 February 2014 (EST)

Modifications for the grid-independent model

The Grid-independent GEOS-Chem project seeks to interface the GEOS-Chem model directly into a General Circulation Model (such as NASA's GEOS-5 GCM). In order for this to happen, much of the existing GEOS-Chem source code will have to be restructured. The GEOS-Chem Support Team is actively working towards this goal, which involves both (1) building a new interface that will link GEOS-Chem to a GCM, and (2) removing legacy code that will hamper grid-independent functionality.

During a recent test interfacing of GEOS-Chem with the Beijing Climate Center's CAM/GCM, we discovered that the existing vegtype.global files (and the corresponding rdland.F routine) was not compatible with the GCM, for several reasons:

1. The GCM could not read in an ASCII file. It expected input to be in netCDF format.
2. The vegtype.global files used by GEOS-Chem were hardwired to particular grids (4° x 5°, 2° x 2.5° and the 0.5° x 0.666° nested grids). However, the GCM was using a T42 spectral grid, for which we had not created a corresponding vegtype.global file.
3. The vegtype.global files were created by offline pre-processing. Instead, we need to employ an on-the-fly regridding algorithm to translate the Olson 0.5° x 0.5° land map to the IREG, ILAND, IUSE, etc. arrays on the GEOS-Chem grid.

To this end, we have created a new GEOS-Chem module olson_landmap_mod.F90. This module, which replaces the rdland.F routine, does the following:

1. Reads in the Olson 1992 land map at 0.5° x 0.5° resolution in netCDF format, instead of ASCII
2. Constructs the IREG, ILAND, IUSE arrays on the GEOS-Chem grid (for soil NOx emissions)
3. Constructs the FRCLND array on the GEOS-Chem grid (for use throughout GEOS-Chem)

The olson_landmap_mod.F90 was introduced to GEOS-Chem v9-01-03. It was validated with 1-month benchmark simulation v9-01-03i (approved on 17 Apr 2012). We have also extended the functionality of olson_landmap_mod.F90 so that it can also process the Olson 2001 land map as well as the Olson 1992 land map.

Also, certain ASCII input files to the dry deposition modules, such as:

1. drydep.table
2. drydep.coef

have been replaced by netCDF files in order to facilitate file I/O by external GCM's.

--Bob Y. 14:28, 21 May 2012 (EDT)

References

1. Bey I., D. J. Jacob, R. M. Yantosca, J. A. Logan, B. Field, A. M. Fiore, Q. Li, H. Liu, L. J. Mickley, and M. Schultz, Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23,073-23,096, 2001
2. Olson, J, World Ecosystems (WE1.4): Digital raster data on a 10 minute geographic 1080 x 2160 grid, in Global Ecosystems Database, version 1.0, Disc A, edited by NOAA Natl. Geophys. Data Center, Boulder, Colorado, 1992.
3. Wang, Y., D.J. Jacob, and J.A. Logan, Global simulation of tropospheric O3-NOx-hydrocarbon chemistry, 1. Model formulation, J. Geophys. Res., 103, D9, 10,713-10,726, 1998.
4. Olson 2011 land map reference may be found here: http://edc2.usgs.gov/glcc/globdoc2_0.php

Previously resolved issues

In this section we provide information about issues with the Olson land map code that have since been resolved.

Speed up computations in subroutine COMPUTE_OLSON_LANDMAP

These updates were validated in the 1-month benchmark simulation v10-01c and approved on 29 May 2014.

We have added a fix to speed up the computations in the parallel DO loop in routine COMPUTE_OLSON_LANDMAP. These computations are used to generate the arrays IREG, ILAND, and IUSE—which GEOS-Chem's legacy dry deposition module require as input—from the data in the Olson land map netCDF file.

We made the following source-code modifications:

(1) Add this section of code to the variable declaration section of subroutine COMPUTE_OLSON_LANDMAP:

!
! !DEFINED PARAMETERS:
!
! The following parameters are used to skip over Olson NATIVE GRID boxes
! that are too far away from the GEOS-CHEM GRID BOX.  This can speed up
! the Olson computation by a factor of 100 or more!
!
#if defined( GRID05x0666 ) || defined( GRID025x03125 )
    REAL*8, PARAMETER :: latThresh = 1d0   ! Lat threshold, nested grid
    REAL*8, PARAMETER :: lonThresh = 1d0   ! Lon threshold, nested grid
#else
    REAL*8, PARAMETER :: latThresh = 5d0   ! Lat threshold, global
    REAL*8, PARAMETER :: lonThresh = 6d0   ! Lon threshold, global
#endif

(2) Add the code !$OMP SCHEDULE( DYNAMIC ) to the OpenMP parallel loop declaration. This will tell each CPU to grab the next available grid box in the array. This will improve the load balancing of the loop.

    !======================================================================
    ! Loop over all GEOS-CHEM GRID BOXES and initialize variables
    !======================================================================
    !$OMP PARALLEL DO                                                  &
    !$OMP DEFAULT( SHARED )                                            &
    !$OMP PRIVATE( I,        J,         xedgeC_w, yedgeC_s, xedgeC_e ) &
    !$OMP PRIVATE( yedgeC_n, dxdy4,     sumArea,  JJ,       III      ) &
    !$OMP PRIVATE( dxdy,     mapWt,     II,       xedge_w,  yedge_s  ) &
    !$OMP PRIVATE( xedge_e,  yedge_n,   area,     type,     maxIuse  ) &
    !$OMP PRIVATE( sumIUse,  uniqOlson, C,        IG                 ) &
    !$OMP SCHEDULE( DYNAMIC )

(3) Modify this section of the parallel loop. The code should now look like this:

       !===================================================================
       ! Find each NATIVE GRID BOX that fits into the GEOS-CHEM GRID BOX.  
       ! Keep track of the land types and coverage fractions.
       !=================================================================== 
 
       ! Loop over latitudes on the NATIVE GRID
       DO JJ  = 1, J_OLSON 

          ! Latitude edges of this NATIVE GRID box
          yedge_s    = latedge(JJ  )                ! S edge
          yedge_n    = latedge(JJ+1)                ! N edge

          !%%%%%% LATITUDE SHUNT TO REDUCE WALL TIME (bmy, 3/20/14) %%%%%%%%%%
          !%%%
          !%%% Skip further computations unless we are within LATTHRESH 
          !%%% degrees of the western edge of box (I,J).  This prevents 
          !%%% excess computations and subroutine calls.
          !%%%
          IF ( ABS( yedge_s - yedgeC_s ) > latThresh ) CYCLE
          !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

          ! Loop over longitudes on the NATIVE GRID
          DO III = 1, I_OLSON

             ! Initialize
             dxdy       = 0e0
             mapWt      = 0e0
             
             ! Find the NATIVE GRID longitude index for use below.  Account for 
             ! the first GEOS-CHEM GRID box, which straddles the date line.
             IF ( isGlobal .and.  IG == 1 ) THEN
                II      = shiftLon(III)
             ELSE
                II      = indLon(III)
             ENDIF
             
             ! Edges of this NATIVE GRID box
             xedge_w    = lonedge(II  )                ! W edge
             xedge_e    = lonedge(II+1)                ! E edge

             ! Because the first GEOS-CHEM GRID BOX straddles the date line,
             ! we have to adjust the W and E edges of the NATIVE GRID BOX to
             ! be in monotonically increasing order.  This will prevent
             ! erronous results from being returned by GET_MAP_WT below.
             IF ( isGlobal .and. IG == 1 .and. II >= shiftLon(1) )  THEN
                xedge_w = xedge_w - 360e0
                xedge_e = xedge_e - 360e0
             ENDIF
        
             !%%%%%% LONGITUDE SHUNT TO REDUCE WALL TIME (bmy, 3/20/14) %%%%%%
             !%%%
             !%%% Skip further computations unless we are within LONTHRESH 
             !%%% degrees of the western edge of box (I,J).  This prevents 
             !%%% excess computations and subroutine calls.
             !%%%
             IF ( ABS( xedge_w - xedgeC_w ) > lonThresh ) CYCLE
             !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

             ! "Area" of the GEOS-CHEM GRID BOX in degrees (DLON * DLAT)
             dxdy       = ( xedge_e - xedge_w ) * ( yedge_n - yedge_s ) 

             ! Get the mapping weight (i.e. The fraction of the NATIVE 
             ! GRID BOX that lies w/in the GEOS-CHEM GRID BOX)
             CALL GET_MAP_WT( xedge_w, xedge_e, xedgeC_w, xedgeC_e,  &
                              yedge_s, yedge_n, yedgeC_s, yedgeC_n,  &
                              mapWt                                 )

             ... etc ...

These modifications will skip calling the subroutine GET_MAP_WT unless:

• The latitude of each Olson land map box is within a specified number of degrees (LATTHRESH) of the GEOS-Chem grid box latitude, and
• The longitude of each Olson land map box is within a specified number of degrees (LONTHRESH) of the GEOS-Chem grid box longitude.

By restricting when subroutine GET_MAP_WT is called in this way, we reduce a substantial amount of overhead. Profiling results with the Tuning and Analysis Utilities (TAU) have shown that this can result in a 100X speedup in execution time for COMPUTE_OLSON_LANDMAP, as shown by this figure.

The figure shows wall clock time (in seconds) for each subroutine on the main thread (CPU 0) of a 1-day GEOS-Chem simulation with GEOS-FP meteorology at 4° x 5° horizontal resolution. Before the fix was implemented, routine COMPUTE_OLSON_LANDMAP took about 11 seconds on the main CPU. After the fix, the time spent in the routine was reduced to 0.163 seconds, thus eliminating a major bottleneck.

--Bob Y. 17:07, 30 May 2014 (EDT)

File read error in routine rdland.F affecting 2 x 2.5 simulations

This is now a moot point as olson_landmap_mod.F90 has replaced rdland.F as of GEOS-Chem v9-01-03i. However, if you are comparing results from v9-01-03 to older 2° x 2.5° simulations you may find slight differences that may be attributed to this update.

During implementation of the Grid-independent GEOS-Chem, we found a minor bug in how routine rdland.F reads information from the vegtype.global file (Olson 1992 land map) for 2° x 2.5° GEOS-Chem simulations.

As explained above, the vegtype.global file stores the following quantities, such that values for a single grid box were saved on a single line:

   I, J, IREG(I,J), ILAND(I,J,1:IREG(I,J)), IUSE(I,J,1:IREG(I,J))

Routine rdland.F reads these quantities from vegtype.global assuming that there were 20 integer characters on a single line (i.e. using Fortran FORMAT '(20i4)'). However, ~ 12 lines of the 2 x 2.5 vegtype.global file contained more than 20 integer values. This caused rdland.F to read in the values from these lines improperly, which in turn caused the IREG, ILAND, IUSE, IJREG, IJLAND, IJUSE, and FRCLND arrays to be improperly initialized for the grid boxes corresponding to these lines in vegtype.global.

Bob Yantosca has validated that the new module olson_landmap_mod.F90 (which is the replacement for rdland.F) returns results 100% identical to the 2° x 2.5° vegtype.global file. Therefore, if you want to compare the output of model simulations using the new olson_landmap_mod.F90 the output of simulations using rdland.F, you will see a slight difference in the Methyl chloroform lifetime tracer concentrations.

If you need to run a GEOS-Chem simulation with a version of the code that still uses rdland.F, then this bug may be corrected by changing the line of code:

     101  FORMAT(20I4)

to:

    #if   defined( GRID2x25 )
     101  FORMAT(25I4)
    #else
     100  FORMAT(20I4)
    #endif

This is more or less a moot point, as olson_landmap_mod.F90 will be installed into GEOS-Chem v9-01-03 and higher versions.

--Bob Y. 11:07, 22 March 2012 (EDT)

Outstanding issues that have not yet been resolved

Minor differences in IUSE at 0.5 x 0.666 nested grids

As of 21 Mar 2012, the values of the IUSE array computed by olson_landmap_mod.F90 may differ by 1/1000th from the IUSE values specified in the vegtype.global files for 0.5° x 0.666° nested grids. This does not happen at every grid box, but only for a few grid boxes. We attribute this to roundoff error caused by the the longitude spacing being an irrational number (0.6666666...°). We are still investigating.

--Bob Y. 11:07, 22 March 2012 (EDT)