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Section Contents
- University Homepage
- Schools & departments
- School of GeoSciences
- ARC Lake Project
Data Products
Contents
- Latest News
- Overview
- Mailing List
- Documentation
- Data Downloads
- Land Water Mask
- Data Readers
- Archived Docs
- Contacts
Latest News
| 30/05/2012 | ARC-Lake v2.0 data products released on this website. (Please note that the Edinburgh DataShare (http://hdl.handle.net/10283/88 still hosts the v1.1.2 data.) |
| 08/12/2011 | ARC-Lake v1.1.2 data products made available on the Edinburgh DataShare (http://hdl.handle.net/10283/88) |
| 15/04/2011 |
ARC-Lake Database and lake-mean LSWT products available at Google Fusion Tables (See Data Visualizations for details)
New versions (v1.1.2) of some averaged data products released (see ARC-Lake DPD doc for details) |
| 31/03/2011 | New versions (v1.1.1) of some averaged data products released (see ARC-Lake DPD doc for details) |
| 22/03/2011 | Version v1.1 data products released |
| 22/09/2010 | Version v1.0 data products released |
Overview
The latest version of official data products (v2.0) from the ARC-Lake project are now available for download. Please note that the documentation on this site refers to the v1.1 products but is still largely applicable. Documentation for v2.0 products will be uploaded soon.
ARC-Lake v2.0 data products may be downloaded and used freely, but we ask that the dataset is referenced if used in any publications. Please reference as:
MacCallum, S. N., and Merchant, C. J. (2011). ARC-Lake v1.1, 1995-2009 [Dataset]. University of Edinburgh, School of GeoSciences / European Space Agency, http://hdl.handle.net/10283/88
The methodolgy used to create these data products is outlined in the following paper:
MacCallum, S. N. and C. J. Merchant (2012), Surface Water Temperature Observations of Large Lakes by Optimal Estimation, Can J Remote Sensing, 38(1), 25 - 45. doi:10.5589/m12-010.
Available online
A number of different types of data product are available, from gridded observations on a lake-by-lake basis to global climatology. Data products derived from spatially complete reconstructions are available alongside those derived directly from the ARC-Lake observations. A summary of the possible variants is given below. Note that not all possible combinations are availble.
| Possible variants | |
|---|---|
| Coverage | Per-lake / Global |
| Source | Observations / Reconstructions |
| Time | Day / Night |
| Spatial Resolution | 0.05 degree grid / Lake-mean |
| Temporal Averaging | None / Climatology / Timeseries |
| Temporal Averaging Period | Seasonal / Monthly / Twice-monthly / Daily |
Mailing List
We ask that you e-mail if you download ARC-Lake data, indicating your intended usage. This is in order that we can monitor our number of users and keep you informed about how to cite the data in any publications.
Documentation
The contents and structure of all data products are detailed in the ARCLake Data Product Description (ARC-Lake DPD).
This document also includes the list of lakes and their corresponding lake IDs. This list can also be found in the Target Lakes section of this website.
Data are available for download in a set of zip archives, containing multiple data products. A full listing of the contents of each zip archive is given in the ARCLake Data Product File Lists document (ARC-Lake DPFL).
Supplementary documents describing the methods used, lake definition, and validation results for v1.0 observations are also available:
- Algorithm Theoretical Basis Document (ATBD)
- Technical Note 1: Lake Definition and Validation Strategy
- Validation Report
Data Downloads
ARC-Lake v2.0 data products have been generated for all Phase One lakes, for the ATSR1/ATSR2/AATSR time period (1991-2011). They are available for download through the links on this page.
The per-lake data may also be downloaded via the ARC-Lake database. This enables the available per-lake data to be searched by lat, lon, country, etc.
The per-lake data may also be downloaded via the map below.
Lake-mean LSWT products are also available for quick-look visualizations at Google Fusion Tables. See Data Visualizations for details.
There are four possible file name formats, each of which shares a common naming convention across the first 16 characters. The four file name formats and the types of files to which they apply are given in Table 2. The meanings of the file name components are outlined in Table 3.
| File Name Format | Product Types |
|---|---|
| AAAABBBB_CCDDDEF.nc | Unaveraged per-lake observations and reconstructions |
| AAAABBBB_CCDDDEF_GGGGHHII.nc | Unaveraged daily global observations |
| AAAABBBB_CCDDDEF_JJKKKLL.nc | All per-lake averaged products (e.g. climatology) and lake-mean global products |
| AAAABBBB_CCDDDEF_JJKKKLL_MMNN_OOPP.nc | Spatially resolved global climatology products |
| File Name Component | Meaning | Possible Values | |
|---|---|---|---|
| AAAA | ARC-Lake ID | ALID | |
| BBBB | ARC-Lake ID value | 0001-1820 | Lake ID |
| 9999 | All lakes | ||
| CC | Coverage | PL | Per-lake |
| DG | Daily-global | ||
| CG | Climatology-global | ||
| DD | Source | OBS | Observations |
| REC | Reconstructions | ||
| E | ATSR ID | 1 | ATSR1 |
| 2 | ATSR2 | ||
| 3 | AATSR | ||
| 9 | Merged ATSR | ||
| F | Time | D | Day |
| N | Night | ||
| GGGG | Year | 1991-2011 | |
| HH | Month | 01-12 | |
| II | Day | 01-31 | |
| JJ | Temporal averaging type | CA | Climatology-annual |
| TS | Time-series | ||
| KKK | Temporal averaging period | 004 | Seasonal |
| 012 | Monthly | ||
| 024 | Twice-monthly | ||
| 366 | Daily | ||
| LL | Spatial resolution | SR | Spatially-resolved (1/20° grid) |
| LM | Lake-mean | ||
| MM | Start day of annual climatology time period | 01-31 | |
| NN | Start month of annual climatology time period | 01-12 | |
| OO | End day of annual climatology time period | 01-31 | |
| PP | End month of annual climatology time period | 01-12 | |
Data files containing observations for all lakes for a single day. DG products are available in four separate zip archives, containing zipped NetCDF files. These four zip archives cover all combinations of ATSR2/AATSR and Day/Night.
| Instrument | Years | Day | Night |
|---|---|---|---|
| ATSR1 | 1991-1996 | ALID9999_DGOBS1D.zip | ALID9999_DGOBS1N.zip |
| ATSR2 | 1995-2003 | ALID9999_DGOBS2D.zip | ALID9999_DGOBS2N.zip |
| AATSR | 2002-2011 | ALID9999_DGOBS3D.zip | ALID9999_DGOBS3N.zip |
Data files containing climatology for all lakes. Also includes time-series of temporally averaged data for lake means. Data files are derived from observations and spatially complete reconstructions.
| Observations | Reconstructions |
|---|---|
| ALID9999_CGOBS9B.zip | ALID9999_CGREC9B.zip |
PL products for each instrument for each of the Phase One lakes are also available for download (from the table below). There are up to 62 files available for each lake, one for each available combination of parameters outlined in table 1. The data files for each lake are available for download as a single zip archive, by clicking on the lake ID in the table below.
| Alphabetical | Numerical | Lake ID | Name | Longitude | Latitude | Lake ID | Name | Longitude | Latitude |
|---|---|---|---|---|---|---|---|---|
| 166 | ABAYA | 37.83 | 6.30 | 1 | CASPIAN | 50.36 | 41.85 | |
| 527 | ABE | 41.79 | 11.17 | 2 | SUPERIOR | -88.23 | 47.72 | |
| 152 | ABERDEEN | -98.59 | 64.55 | 3 | VICTORIA | 33.23 | -1.30 | |
| 418 | ABY | -3.23 | 5.23 | 4 | ARAL | 60.08 | 45.13 | |
| 58 | ALAKOL | 81.75 | 46.11 | 5 | HURON | -82.21 | 44.78 | |
| 30 | ALBERT | 30.91 | 1.67 | 6 | MICHIGAN | -87.09 | 43.86 | |
| 210 | ALEXANDRINA | 139.09 | -35.52 | 7 | TANGANYIKA | 29.46 | -6.07 | |
| 1748 | ALMANOR | -121.19 | 40.26 | 8 | BAIKAL | 108.14 | 53.63 | |
| 56 | AMADJUAK | -71.13 | 64.99 | 9 | GREAT BEAR | -121.30 | 65.91 | |
| 354 | ANG-LA JEN | 83.09 | 31.53 | 10 | MALAWI | 34.59 | -11.96 | |
| 324 | ANGIKUNI | -100.04 | 62.27 | 11 | GREAT SLAVE | -114.37 | 62.09 | |
| 4 | ARAL | 60.08 | 45.13 | 12 | ERIE | -81.16 | 42.25 | |
| 117 | ARGENTINO | -73.03 | -50.33 | 13 | WINNIPEG | -97.25 | 52.12 | |
| 334 | ARTILLERY | -107.82 | 63.17 | 15 | ONTARIO | -77.77 | 43.85 | |
| 345 | ASHUANIPI | -66.14 | 52.69 | 16 | LADOGA | 31.39 | 60.84 | |
| 115 | ASTRAY | -66.32 | 54.38 | 17 | BALKHASH | 73.95 | 45.91 | |
| 23 | ATHABASCA | -109.96 | 59.10 | 18 | ONEGA | 35.35 | 61.90 | |
| 311 | ATLIN | -133.75 | 59.57 | 20 | TITICACA | -69.30 | -15.92 | |
| 312 | AYAKKUM | 89.35 | 37.55 | 21 | NICARAGUA | -85.36 | 11.57 | |
| 226 | AYLMER | -108.46 | 64.15 | 22 | TURKANA | 36.08 | 3.53 | |
| 8 | BAIKAL | 108.14 | 53.63 | 23 | ATHABASCA | -109.96 | 59.10 | |
| 97 | BAKER | -95.28 | 64.13 | 25 | ISSYKKUL | 77.25 | 42.46 | |
| 310 | BALATON | 17.83 | 46.88 | 27 | SMALLWOOD | -64.31 | 54.19 | |
| 17 | BALKHASH | 73.95 | 45.91 | 28 | REINDEER | -102.27 | 57.19 | |
| 536 | BANGONG | 79.71 | 33.61 | 29 | VANERN | 13.22 | 58.88 | |
| 229 | BARUN-TOREY | 115.81 | 50.07 | 30 | ALBERT | 30.91 | 1.67 | |
| 205 | BAY | 121.26 | 14.36 | 31 | WINNIPEGOSIS | -100.05 | 52.37 | |
| 145 | BECHAROF | -156.40 | 57.85 | 32 | NETILLING | -70.28 | 66.42 | |
| 160 | BELOYE | 37.64 | 60.18 | 36 | MWERU | 28.74 | -9.01 | |
| 267 | BEYSEHIR | 31.52 | 37.78 | 37 | MANITOBA | -98.80 | 50.99 | |
| 155 | BIENVILLE | -72.98 | 55.05 | 38 | NIPIGON | -88.55 | 49.80 | |
| 280 | BIG TROUT | -90.02 | 53.77 | 41 | QINGHAI | 100.18 | 36.89 | |
| 268 | BIWA | 136.08 | 35.25 | 43 | TAYMYR | 100.76 | 74.48 | |
| 333 | BLACK | -105.73 | 59.05 | 44 | WOODS | -94.91 | 49.38 | |
| 181 | BOSTEN | 87.07 | 41.98 | 45 | KHANKA | 132.42 | 44.94 | |
| 191 | BRAS D'OR | -60.83 | 45.95 | 46 | MIRIM | -53.25 | -32.89 | |
| 94 | BUENOS AIRES | -72.50 | -46.66 | 49 | DUBAWNT | -101.44 | 63.13 | |
| 299 | BUFFALO | -115.49 | 60.22 | 50 | PEIPUS | 27.59 | 58.41 | |
| 291 | BUYR | 117.69 | 47.81 | 51 | VAN | 42.98 | 38.66 | |
| 257 | CARATASCA | -83.85 | 15.35 | 53 | UVS | 92.81 | 50.33 | |
| 1 | CASPIAN | 50.36 | 41.85 | 55 | TANA | 37.31 | 11.95 | |
| 265 | CAXUANA | -51.50 | -2.04 | 56 | AMADJUAK | -71.13 | 64.99 | |
| 57 | CEDAR | -100.14 | 53.33 | 57 | CEDAR | -100.14 | 53.33 | |
| 579 | CHAMO | 37.55 | 5.83 | 58 | ALAKOL | 81.75 | 46.11 | |
| 165 | CHAMPLAIN | -73.27 | 44.45 | 59 | HOVSGOL | 100.48 | 51.02 | |
| 233 | CHAO | 117.57 | 31.57 | 62 | ILIAMNA | -154.90 | 59.56 | |
| 153 | CHAPALA | -103.05 | 20.21 | 66 | TAI | 120.24 | 31.21 | |
| 204 | CHILKA | 85.38 | 19.69 | 67 | KIVU | 29.23 | -2.04 | |
| 256 | CHILWA | 35.71 | -15.32 | 68 | WOLLASTON | -103.33 | 58.30 | |
| 84 | CHIQUITA | -62.61 | -30.74 | 69 | EDWARD | 29.61 | -0.39 | |
| 119 | CHISHI | 29.72 | -8.71 | 73 | TAPAJOS | -55.14 | -2.88 | |
| 323 | CHURCHILL | -108.29 | 55.96 | 75 | HULUN | 117.38 | 48.97 | |
| 125 | CLAIRE | -112.08 | 58.59 | 76 | MISTASSINI | -73.81 | 50.82 | |
| 1188 | CLEAR | -122.77 | 39.02 | 83 | NUELTIN | -99.40 | 60.25 | |
| 275 | CLINTON COLDEN | -107.45 | 63.94 | 84 | CHIQUITA | -62.61 | -30.74 | |
| 277 | COARI | -63.37 | -4.25 | 85 | SYVASH | 34.74 | 45.96 | |
| 219 | COLHUE HUAPI | -68.76 | -45.47 | 91 | NAM | 90.66 | 30.71 | |
| 352 | CONSTANCE | 9.28 | 47.65 | 94 | BUENOS AIRES | -72.50 | -46.66 | |
| 162 | CONTWOYTO | -110.66 | 65.59 | 95 | VATTERN | 14.57 | 58.33 | |
| 284 | CORO | -69.86 | 11.56 | 97 | BAKER | -95.28 | 64.13 | |
| 137 | CREE | -106.64 | 57.47 | 99 | KYOGA | 33.01 | 1.50 | |
| 251 | CROSS | -97.58 | 54.71 | 100 | MARTRE | -117.91 | 63.33 | |
| 351 | DAUPHIN | -99.77 | 51.27 | 101 | MADRE | -97.66 | 24.64 | |
| 244 | DEAD | 35.49 | 31.52 | 105 | ZILING | 88.95 | 31.77 | |
| 326 | DESCHAMBAULT | -103.45 | 54.78 | 109 | HUNGTZE | 118.53 | 33.34 | |
| 281 | DORE | -107.28 | 54.76 | 114 | OKEECHOBEE | -80.86 | 26.95 | |
| 49 | DUBAWNT | -101.44 | 63.13 | 115 | ASTRAY | -66.32 | 54.38 | |
| 128 | EAU CLAIRE | -74.40 | 56.15 | 117 | ARGENTINO | -73.03 | -50.33 | |
| 297 | EBI | 82.92 | 44.86 | 119 | CHISHI | 29.72 | -8.71 | |
| 305 | EBRIE | -4.26 | 5.30 | 120 | TENGIZ | 68.90 | 50.44 | |
| 69 | EDWARD | 29.61 | -0.39 | 121 | HYARGAS | 93.30 | 49.13 | |
| 390 | EGRIDIR | 30.85 | 38.07 | 124 | KASBA | -102.27 | 60.34 | |
| 254 | ENNADAI | -101.31 | 60.96 | 125 | CLAIRE | -112.08 | 58.59 | |
| 723 | ENRIQUILLO | -71.58 | 18.49 | 126 | YATHKYED | -98.07 | 62.69 | |
| 12 | ERIE | -81.16 | 42.25 | 127 | RONGE | -104.83 | 55.11 | |
| 149 | ESKIMO | -132.76 | 69.10 | 128 | EAU CLAIRE | -74.40 | 56.15 | |
| 270 | EVANS | -77.02 | 50.97 | 130 | RAINY | -92.97 | 48.61 | |
| 1029 | EVORON | 136.51 | 51.48 | 133 | POOPO | -67.06 | -18.81 | |
| 156 | EYASI | 35.04 | -3.58 | 134 | XINGU | -52.20 | -2.16 | |
| 304 | FAGNANO | -68.03 | -54.55 | 135 | SEVAN | 45.29 | 40.39 | |
| 315 | FERGUSON | -105.27 | 69.41 | 136 | VYGOZERO | 34.84 | 63.54 | |
| 404 | FROBISHER | -108.22 | 56.37 | 137 | CREE | -106.64 | 57.47 | |
| 287 | GAOYOU | 119.31 | 32.87 | 140 | LIMFJORDEN | 9.17 | 56.78 | |
| 227 | GARRY | -99.40 | 65.95 | 141 | KAGHASUK | -164.22 | 60.79 | |
| 327 | GENEVA | 6.25 | 46.37 | 142 | HAR US | 92.30 | 48.06 | |
| 172 | GODS | -94.21 | 54.62 | 143 | SHERMAN | -97.73 | 67.79 | |
| 363 | GRANVILLE | -100.21 | 56.40 | 144 | INARI | 27.83 | 69.04 | |
| 252 | GRAS | -110.38 | 64.54 | 145 | BECHAROF | -156.40 | 57.85 | |
| 9 | GREAT BEAR | -121.30 | 65.91 | 146 | SAINT CLAIR | -82.73 | 42.50 | |
| 11 | GREAT SLAVE | -114.37 | 62.09 | 147 | LESSER SLAVE | -115.49 | 55.43 | |
| 253 | GUILLAUME-DELISLE | -76.28 | 56.33 | 149 | ESKIMO | -132.76 | 69.10 | |
| 336 | GYARING | 97.27 | 34.92 | 150 | TOBA | 98.90 | 2.61 | |
| 294 | HAR | 93.21 | 48.05 | 151 | RED | -95.08 | 48.04 | |
| 142 | HAR US | 92.30 | 48.06 | 152 | ABERDEEN | -98.59 | 64.55 | |
| 302 | HAR-HU | 97.59 | 38.31 | 153 | CHAPALA | -103.05 | 20.21 | |
| 214 | HAUKIVESI | 28.52 | 62.10 | 155 | BIENVILLE | -72.98 | 55.05 | |
| 339 | HAZEN | -70.94 | 81.80 | 156 | EYASI | 35.04 | -3.58 | |
| 288 | HIGHROCK | -100.44 | 55.83 | 157 | PAIJANNE | 25.49 | 61.71 | |
| 189 | HOTTAH | -118.44 | 64.95 | 158 | SAINT JEAN | -72.02 | 48.66 | |
| 59 | HOVSGOL | 100.48 | 51.02 | 160 | BELOYE | 37.64 | 60.18 | |
| 75 | HULUN | 117.38 | 48.97 | 162 | CONTWOYTO | -110.66 | 65.59 | |
| 109 | HUNGTZE | 118.53 | 33.34 | 163 | MALAREN | 16.19 | 59.44 | |
| 5 | HURON | -82.21 | 44.78 | 164 | PURUVESI | 29.02 | 61.77 | |
| 121 | HYARGAS | 93.30 | 49.13 | 165 | CHAMPLAIN | -73.27 | 44.45 | |
| 62 | ILIAMNA | -154.90 | 59.56 | 166 | ABAYA | 37.83 | 6.30 | |
| 144 | INARI | 27.83 | 69.04 | 167 | SAN MARTIN | -72.84 | -48.75 | |
| 293 | INDIAN RIVER | -80.64 | 28.24 | 169 | WHOLDAIA | -104.15 | 60.69 | |
| 174 | ISLAND | -94.70 | 53.85 | 170 | SELAWIK | -160.73 | 66.51 | |
| 25 | ISSYKKUL | 77.25 | 42.46 | 171 | VIEDMA | -72.56 | -49.59 | |
| 1441 | ISTADA | 67.92 | 32.48 | 172 | GODS | -94.21 | 54.62 | |
| 245 | IZABAL | -89.11 | 15.57 | 174 | ISLAND | -94.70 | 53.85 | |
| 141 | KAGHASUK | -164.22 | 60.79 | 175 | LUANG | 100.38 | 7.46 | |
| 246 | KAMINAK | -94.90 | 62.20 | 176 | MANAGUA | -86.35 | 12.32 | |
| 320 | KAMINURIAK | -95.79 | 62.96 | 178 | TAKIYUAK | -113.17 | 66.28 | |
| 264 | KAMlLUKUAK | -101.73 | 62.28 | 179 | TERINAM | 85.61 | 30.90 | |
| 197 | KARA-BOGAZ-GOL | 53.54 | 41.23 | 181 | BOSTEN | 87.07 | 41.98 | |
| 124 | KASBA | -102.27 | 60.34 | 184 | MACKAY | -111.30 | 63.96 | |
| 346 | KEITELE | 25.99 | 62.89 | 186 | TOPOZERO | 32.09 | 65.62 | |
| 45 | KHANKA | 132.42 | 44.94 | 187 | ORIVESI | 29.59 | 62.35 | |
| 218 | KHANTAYSKOE | 91.18 | 68.36 | 189 | HOTTAH | -118.44 | 64.95 | |
| 67 | KIVU | 29.23 | -2.04 | 191 | BRAS D'OR | -60.83 | 45.95 | |
| 344 | KRASNOE | 174.44 | 64.53 | 194 | SALTON | -115.83 | 33.30 | |
| 262 | KULUNDINSKOYE | 79.58 | 52.98 | 195 | PIELINEN | 29.71 | 63.16 | |
| 325 | KWANIA | 32.65 | 1.72 | 197 | KARA-BOGAZ-GOL | 53.54 | 41.23 | |
| 382 | KYARING | 88.32 | 31.13 | 198 | NIPISSING | -79.92 | 46.24 | |
| 99 | KYOGA | 33.01 | 1.50 | 204 | CHILKA | 85.38 | 19.69 | |
| 331 | LABAZ | 99.57 | 72.27 | 205 | BAY | 121.26 | 14.36 | |
| 16 | LADOGA | 31.39 | 60.84 | 207 | OMULAKH | 145.59 | 72.29 | |
| 147 | LESSER SLAVE | -115.49 | 55.43 | 209 | LLANQUIHUE | -72.79 | -41.14 | |
| 140 | LIMFJORDEN | 9.17 | 56.78 | 210 | ALEXANDRINA | 139.09 | -35.52 | |
| 209 | LLANQUIHUE | -72.79 | -41.14 | 211 | NONACHO | -108.92 | 61.82 | |
| 357 | LOWER SEAL | -73.42 | 56.49 | 212 | TESHEKPUK | -153.60 | 70.59 | |
| 175 | LUANG | 100.38 | 7.46 | 213 | PLAYGREEN | -97.75 | 54.07 | |
| 184 | MACKAY | -111.30 | 63.96 | 214 | HAUKIVESI | 28.52 | 62.10 | |
| 101 | MADRE | -97.66 | 24.64 | 215 | TANGRA | 86.59 | 31.05 | |
| 163 | MALAREN | 16.19 | 59.44 | 218 | KHANTAYSKOE | 91.18 | 68.36 | |
| 10 | MALAWI | 34.59 | -11.96 | 219 | COLHUE HUAPI | -68.76 | -45.47 | |
| 350 | MALHEUR | -118.83 | 43.34 | 222 | PETER POND | -108.55 | 55.84 | |
| 176 | MANAGUA | -86.35 | 12.32 | 224 | MINTO | -74.71 | 57.34 | |
| 231 | MANGUEIRA | -52.84 | -33.16 | 225 | SOUTH MOOSE | -100.04 | 53.83 | |
| 37 | MANITOBA | -98.80 | 50.99 | 226 | AYLMER | -108.46 | 64.15 | |
| 368 | MANOUANE | -70.99 | 50.76 | 227 | GARRY | -99.40 | 65.95 | |
| 250 | MANYCH-GUDILO | 42.98 | 46.26 | 228 | SEGOZERO | 33.76 | 63.32 | |
| 100 | MARTRE | -117.91 | 63.33 | 229 | BARUN-TOREY | 115.81 | 50.07 | |
| 6 | MICHIGAN | -87.09 | 43.86 | 231 | MANGUEIRA | -52.84 | -33.16 | |
| 366 | MILLE LACS | -93.65 | 46.24 | 232 | POINT | -113.84 | 65.31 | |
| 224 | MINTO | -74.71 | 57.34 | 233 | CHAO | 117.57 | 31.57 | |
| 46 | MIRIM | -53.25 | -32.89 | 235 | TAMIAHUA | -97.57 | 21.66 | |
| 76 | MISTASSINI | -73.81 | 50.82 | 236 | SIMCOE | -79.42 | 44.47 | |
| 883 | MONO | -118.96 | 38.01 | 239 | ULUNGUR | 87.30 | 47.22 | |
| 286 | MURRAY | 141.53 | -6.95 | 240 | PYASINO | 87.78 | 69.77 | |
| 36 | MWERU | 28.74 | -9.01 | 241 | SARYKAMYSHSKOYE | 57.61 | 41.88 | |
| 343 | NAHUEL HUAPI | -71.52 | -40.92 | 244 | DEAD | 35.49 | 31.52 | |
| 377 | NAKNEK | -155.67 | 58.64 | 245 | IZABAL | -89.11 | 15.57 | |
| 91 | NAM | 90.66 | 30.71 | 246 | KAMINAK | -94.90 | 62.20 | |
| 322 | NATRON | 36.02 | -2.34 | 247 | SASYKKOL | 80.91 | 46.58 | |
| 338 | NERPICH'YE | 162.77 | 56.39 | 250 | MANYCH-GUDILO | 42.98 | 46.26 | |
| 32 | NETILLING | -70.28 | 66.42 | 251 | CROSS | -97.58 | 54.71 | |
| 300 | NGORING | 97.71 | 34.93 | 252 | GRAS | -110.38 | 64.54 | |
| 21 | NICARAGUA | -85.36 | 11.57 | 253 | GUILLAUME-DELISLE | -76.28 | 56.33 | |
| 38 | NIPIGON | -88.55 | 49.80 | 254 | ENNADAI | -101.31 | 60.96 | |
| 198 | NIPISSING | -79.92 | 46.24 | 255 | TUMBA | 17.98 | -0.82 | |
| 211 | NONACHO | -108.92 | 61.82 | 256 | CHILWA | 35.71 | -15.32 | |
| 303 | NORTH MOOSE | -100.16 | 54.05 | 257 | CARATASCA | -83.85 | 15.35 | |
| 83 | NUELTIN | -99.40 | 60.25 | 261 | YAMDROK | 90.76 | 28.97 | |
| 114 | OKEECHOBEE | -80.86 | 26.95 | 262 | KULUNDINSKOYE | 79.58 | 52.98 | |
| 207 | OMULAKH | 145.59 | 72.29 | 264 | KAMlLUKUAK | -101.73 | 62.28 | |
| 18 | ONEGA | 35.35 | 61.90 | 265 | CAXUANA | -51.50 | -2.04 | |
| 15 | ONTARIO | -77.77 | 43.85 | 267 | BEYSEHIR | 31.52 | 37.78 | |
| 187 | ORIVESI | 29.59 | 62.35 | 268 | BIWA | 136.08 | 35.25 | |
| 157 | PAIJANNE | 25.49 | 61.71 | 269 | TULEMALU | -99.48 | 62.99 | |
| 697 | PANGONG | 78.61 | 33.82 | 270 | EVANS | -77.02 | 50.97 | |
| 353 | PAYNE | -73.82 | 59.40 | 271 | SELETYTENIZ | 73.18 | 53.23 | |
| 50 | PEIPUS | 27.59 | 58.41 | 273 | PYAOZERO | 30.98 | 66.07 | |
| 349 | PERLAS | -83.67 | 12.54 | 275 | CLINTON COLDEN | -107.45 | 63.94 | |
| 222 | PETER POND | -108.55 | 55.84 | 277 | COARI | -63.37 | -4.25 | |
| 195 | PIELINEN | 29.71 | 63.16 | 280 | BIG TROUT | -90.02 | 53.77 | |
| 213 | PLAYGREEN | -97.75 | 54.07 | 281 | DORE | -107.28 | 54.76 | |
| 232 | POINT | -113.84 | 65.31 | 282 | SAKAMI | -76.75 | 53.22 | |
| 649 | POMO | 90.40 | 28.55 | 284 | CORO | -69.86 | 11.56 | |
| 133 | POOPO | -67.06 | -18.81 | 285 | SAINT JOSEPH | -90.81 | 51.04 | |
| 395 | PRINCESS MARY | -97.66 | 63.93 | 286 | MURRAY | 141.53 | -6.95 | |
| 164 | PURUVESI | 29.02 | 61.77 | 287 | GAOYOU | 119.31 | 32.87 | |
| 273 | PYAOZERO | 30.98 | 66.07 | 288 | HIGHROCK | -100.44 | 55.83 | |
| 240 | PYASINO | 87.78 | 69.77 | 291 | BUYR | 117.69 | 47.81 | |
| 1240 | PYHAJARVI | 22.28 | 61.00 | 292 | SELWYN | -104.68 | 60.00 | |
| 411 | PYRAMID | -119.55 | 40.03 | 293 | INDIAN RIVER | -80.64 | 28.24 | |
| 41 | QINGHAI | 100.18 | 36.89 | 294 | HAR | 93.21 | 48.05 | |
| 130 | RAINY | -92.97 | 48.61 | 295 | TAUPO | 175.90 | -38.81 | |
| 358 | RAZELM | 28.97 | 44.83 | 297 | EBI | 82.92 | 44.86 | |
| 151 | RED | -95.08 | 48.04 | 299 | BUFFALO | -115.49 | 60.22 | |
| 28 | REINDEER | -102.27 | 57.19 | 300 | NGORING | 97.71 | 34.93 | |
| 321 | ROGOAGUADO | -65.73 | -12.91 | 302 | HAR-HU | 97.59 | 38.31 | |
| 127 | RONGE | -104.83 | 55.11 | 303 | NORTH MOOSE | -100.16 | 54.05 | |
| 146 | SAINT CLAIR | -82.73 | 42.50 | 304 | FAGNANO | -68.03 | -54.55 | |
| 158 | SAINT JEAN | -72.02 | 48.66 | 305 | EBRIE | -4.26 | 5.30 | |
| 285 | SAINT JOSEPH | -90.81 | 51.04 | 310 | BALATON | 17.83 | 46.88 | |
| 282 | SAKAMI | -76.75 | 53.22 | 311 | ATLIN | -133.75 | 59.57 | |
| 194 | SALTON | -115.83 | 33.30 | 312 | AYAKKUM | 89.35 | 37.55 | |
| 167 | SAN MARTIN | -72.84 | -48.75 | 313 | SCOTT | -106.07 | 60.02 | |
| 356 | SANDY | -93.03 | 53.00 | 314 | UPEMBA | 26.40 | -8.65 | |
| 241 | SARYKAMYSHSKOYE | 57.61 | 41.88 | 315 | FERGUSON | -105.27 | 69.41 | |
| 247 | SASYKKOL | 80.91 | 46.58 | 316 | TATHLINA | -117.64 | 60.54 | |
| 313 | SCOTT | -106.07 | 60.02 | 319 | SOUTH HENIK | -97.29 | 61.37 | |
| 228 | SEGOZERO | 33.76 | 63.32 | 320 | KAMINURIAK | -95.79 | 62.96 | |
| 170 | SELAWIK | -160.73 | 66.51 | 321 | ROGOAGUADO | -65.73 | -12.91 | |
| 271 | SELETYTENIZ | 73.18 | 53.23 | 322 | NATRON | 36.02 | -2.34 | |
| 292 | SELWYN | -104.68 | 60.00 | 323 | CHURCHILL | -108.29 | 55.96 | |
| 135 | SEVAN | 45.29 | 40.39 | 324 | ANGIKUNI | -100.04 | 62.27 | |
| 143 | SHERMAN | -97.73 | 67.79 | 325 | KWANIA | 32.65 | 1.72 | |
| 236 | SIMCOE | -79.42 | 44.47 | 326 | DESCHAMBAULT | -103.45 | 54.78 | |
| 27 | SMALLWOOD | -64.31 | 54.19 | 327 | GENEVA | 6.25 | 46.37 | |
| 365 | SNOWBIRD | -102.94 | 60.64 | 331 | LABAZ | 99.57 | 72.27 | |
| 319 | SOUTH HENIK | -97.29 | 61.37 | 332 | TOWUTI | 121.52 | -2.79 | |
| 225 | SOUTH MOOSE | -100.04 | 53.83 | 333 | BLACK | -105.73 | 59.05 | |
| 2 | SUPERIOR | -88.23 | 47.72 | 334 | ARTILLERY | -107.82 | 63.17 | |
| 85 | SYVASH | 34.74 | 45.96 | 336 | GYARING | 97.27 | 34.92 | |
| 380 | TAHOE | -120.04 | 39.09 | 338 | NERPICH'YE | 162.77 | 56.39 | |
| 66 | TAI | 120.24 | 31.21 | 339 | HAZEN | -70.94 | 81.80 | |
| 178 | TAKIYUAK | -113.17 | 66.28 | 340 | WINNEBAGO | -88.42 | 44.02 | |
| 235 | TAMIAHUA | -97.57 | 21.66 | 343 | NAHUEL HUAPI | -71.52 | -40.92 | |
| 55 | TANA | 37.31 | 11.95 | 344 | KRASNOE | 174.44 | 64.53 | |
| 7 | TANGANYIKA | 29.46 | -6.07 | 345 | ASHUANIPI | -66.14 | 52.69 | |
| 215 | TANGRA | 86.59 | 31.05 | 346 | KEITELE | 25.99 | 62.89 | |
| 73 | TAPAJOS | -55.14 | -2.88 | 349 | PERLAS | -83.67 | 12.54 | |
| 316 | TATHLINA | -117.64 | 60.54 | 350 | MALHEUR | -118.83 | 43.34 | |
| 295 | TAUPO | 175.90 | -38.81 | 351 | DAUPHIN | -99.77 | 51.27 | |
| 43 | TAYMYR | 100.76 | 74.48 | 352 | CONSTANCE | 9.28 | 47.65 | |
| 373 | TEBESJUAK | -98.98 | 63.76 | 353 | PAYNE | -73.82 | 59.40 | |
| 120 | TENGIZ | 68.90 | 50.44 | 354 | ANG-LA JEN | 83.09 | 31.53 | |
| 179 | TERINAM | 85.61 | 30.90 | 356 | SANDY | -93.03 | 53.00 | |
| 212 | TESHEKPUK | -153.60 | 70.59 | 357 | LOWER SEAL | -73.42 | 56.49 | |
| 20 | TITICACA | -69.30 | -15.92 | 358 | RAZELM | 28.97 | 44.83 | |
| 150 | TOBA | 98.90 | 2.61 | 363 | GRANVILLE | -100.21 | 56.40 | |
| 186 | TOPOZERO | 32.09 | 65.62 | 365 | SNOWBIRD | -102.94 | 60.64 | |
| 332 | TOWUTI | 121.52 | -2.79 | 366 | MILLE LACS | -93.65 | 46.24 | |
| 367 | TROUT | -121.13 | 60.58 | 367 | TROUT | -121.13 | 60.58 | |
| 269 | TULEMALU | -99.48 | 62.99 | 368 | MANOUANE | -70.99 | 50.76 | |
| 255 | TUMBA | 17.98 | -0.82 | 373 | TEBESJUAK | -98.98 | 63.76 | |
| 22 | TURKANA | 36.08 | 3.53 | 377 | NAKNEK | -155.67 | 58.64 | |
| 425 | UBINSKOYE | 80.05 | 55.47 | 380 | TAHOE | -120.04 | 39.09 | |
| 239 | ULUNGUR | 87.30 | 47.22 | 382 | KYARING | 88.32 | 31.13 | |
| 314 | UPEMBA | 26.40 | -8.65 | 390 | EGRIDIR | 30.85 | 38.07 | |
| 53 | UVS | 92.81 | 50.33 | 395 | PRINCESS MARY | -97.66 | 63.93 | |
| 51 | VAN | 42.98 | 38.66 | 404 | FROBISHER | -108.22 | 56.37 | |
| 29 | VANERN | 13.22 | 58.88 | 411 | PYRAMID | -119.55 | 40.03 | |
| 95 | VATTERN | 14.57 | 58.33 | 418 | ABY | -3.23 | 5.23 | |
| 1820 | VESIJARVI | 25.39 | 61.09 | 425 | UBINSKOYE | 80.05 | 55.47 | |
| 3 | VICTORIA | 33.23 | -1.30 | 527 | ABE | 41.79 | 11.17 | |
| 171 | VIEDMA | -72.56 | -49.59 | 536 | BANGONG | 79.71 | 33.61 | |
| 136 | VYGOZERO | 34.84 | 63.54 | 579 | CHAMO | 37.55 | 5.83 | |
| 1128 | WALKER | -118.71 | 38.70 | 649 | POMO | 90.40 | 28.55 | |
| 876 | WEISHAN | 117.24 | 34.61 | 697 | PANGONG | 78.61 | 33.82 | |
| 169 | WHOLDAIA | -104.15 | 60.69 | 723 | ENRIQUILLO | -71.58 | 18.49 | |
| 340 | WINNEBAGO | -88.42 | 44.02 | 876 | WEISHAN | 117.24 | 34.61 | |
| 13 | WINNIPEG | -97.25 | 52.12 | 883 | MONO | -118.96 | 38.01 | |
| 31 | WINNIPEGOSIS | -100.05 | 52.37 | 1029 | EVORON | 136.51 | 51.48 | |
| 68 | WOLLASTON | -103.33 | 58.30 | 1128 | WALKER | -118.71 | 38.70 | |
| 44 | WOODS | -94.91 | 49.38 | 1188 | CLEAR | -122.77 | 39.02 | |
| 134 | XINGU | -52.20 | -2.16 | 1240 | PYHAJARVI | 22.28 | 61.00 | |
| 261 | YAMDROK | 90.76 | 28.97 | 1441 | ISTADA | 67.92 | 32.48 | |
| 126 | YATHKYED | -98.07 | 62.69 | 1748 | ALMANOR | -121.19 | 40.26 | |
| 105 | ZILING | 88.95 | 31.77 | 1820 | VESIJARVI | 25.39 | 61.09 | |
Land/Water Mask
A global land/water mask on the ARC-Lake product resolution (0.05ox0.05o) is also available for download.
| Product Long Name | Download | File Size (MB) | Uncompressed Size (MB) |
|---|---|---|---|
| Land/water mask | AL_LW_MASK_20.nc.gz | 0.24 | 149 |
This file contains the following data on a 2-D global grid:
- lakeid - land/lake mask
- flagmix - indicates if cell contains more than one lake
- nlake - number of lake cells on the high resolution (0.00833o) land/water mask used in the processing
Please note that this land/water mask only includes the lakes listed in the Target Lakes section of this website.
The full resolution (0.00833o) land/lake mask as used in the ARC-Lake processing is also available for download.
| Product Long Name | Download | File Size (MB) | Uncompressed Size (MB) |
|---|---|---|---|
| Land/water mask (full resolution) |
ARCLake_lw_mask.nc.gz | 0.20 | 12 |
This file contains the land/lake mask in a hierarchical structure, consisting of data on three levels of increasing resolution, as outlined below.
- L1 - Full globe at 1.0ox1.0o resolution: 0=land, > 0=index of L2
- L2 - 1.0ox1.0o cell at 0.1o0.1o resolution: 0=land, > 0=index of L3
- L3 - 0.1o0.1o at 0.00833ox0.00833o resolution: 0=land, > 0=lake ID
Data Readers
Basic code for reading in the NetCDF files is available for IDL and MATLAB. These functions will read the entire contents of the named NetCDF file, returning them as a structure. In both cases, the data is read in using the same function call:
data = read_netcdf_all(filename)
| Software Package | Code Download |
|---|---|
| IDL | read_netcdf_all.pro |
| MATLAB | read_netcdf_all.m |
An add-in for Microsoft Excel 2007, to enable NetCDF files to be read in, is available for download at http://code.google.com/p/netcdf4excel/
Please note that this is limited by Excel's memory limitations so is not recommended for large files (e.g. spatially resolved time-series products for the Caspian Sea).
A list of software for manipulating or displaying NetCDF data is available at http://www.unidata.ucar.edu/software/netcdf/software.html
Archived Docs
ARC-Lake Data Product Description v1.1.1
ARC-Lake Data Product Description v1.1
ARC-Lake Data Product Description v1.0
Contacts
If you have any questions about the ARCLake data available on this page, please email .