Data Products

Science and Engineering at The University of Edinburgh

School of GeoSciences

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Section Contents

Data Products

Latest News

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 second version of official data products (v1.1) from the ARC-Lake project are now available for download.

ARC-Lake v1.1 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

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.

Table 1. Summary of possible ARC-Lake data files
	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:

Data Downloads

ARC-Lake v1.1 data products have been generated for all Phase One lakes, for the ATSR2/AATSR time period (1995-2009). 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.

File Naming Convention

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.

Table 2. ARC-Lake file name formats and a summary of associated file types.
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

Table 3. Description of components of ARC-Lake file names.
File Name Component	Meaning	Possible Values
AAAA	ARC-Lake ID	ALID
BBBB	ARC-Lake ID value	0001-1820	Lake ID
BBBB	ARC-Lake ID value	9999	All lakes
CC	Coverage	PL	Per-lake
		DG	Daily-global
		CG	Climatology-global
DD	Source	OBS	Observations
DD	Source	REC	Reconstructions
E	ATSR ID	1	ATSR1
		2	ATSR2
		3	AATSR
		9	Merged ATSR
F	Time	D	Day
F	Time	N	Night
GGGG	Year	1991-2011
HH	Month	01-12
II	Day	01-31
JJ	Temporal averaging type	CA	Climatology-annual
JJ	Temporal averaging type	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)
LL	Spatial resolution	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

Daily / Global

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
ATSR2	1995-2003	ALID9999_DGOBS2D.zip	ALID9999_DGOBS2N.zip
AATSR	2002-2009	ALID9999_DGOBS3D.zip	ALID9999_DGOBS3N.zip

Climatology / Global

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

Per Lake

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.

Links to ARC-Lake per-lake data products.
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	NYASA	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	RUDOLF	36.08	3.53
181	BAGHRASH	87.07	41.98	23	ATHABASCA	-109.96	59.10
8	BAIKAL	108.14	53.63	25	ISSYKKUL	77.25	42.46
97	BAKER	-95.28	64.13	27	SMALLWOOD	-64.31	54.19
310	BALATON	17.83	46.88	28	REINDEER	-102.27	57.19
17	BALKHASH	73.95	45.91	29	VANERN	13.22	58.88
536	BANGONG	79.71	33.61	30	ALBERT	30.91	1.67
229	BARUN-TOREY	115.81	50.07	31	WINNIPEGOSIS	-100.05	52.37
205	BAY	121.26	14.36	32	NETILLING	-70.28	66.42
145	BECHAROF	-156.40	57.85	36	MWERU	28.74	-9.01
160	BELOYE	37.64	60.18	37	MANITOBA	-98.80	50.99
267	BEYSEHIR	31.52	37.78	38	NIPIGON	-88.55	49.80
155	BIENVILLE	-72.98	55.05	41	KOKO	100.18	36.89
280	BIG TROUT	-90.02	53.77	43	TAYMYR	100.76	74.48
268	BIWA	136.08	35.25	44	WOODS	-94.91	49.38
333	BLACK	-105.73	59.05	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
165	CHAMPLAIN	-73.27	44.45	58	ALAKOL	81.75	46.11
233	CHAO	117.57	31.57	59	HOVSGOL	100.48	51.02
153	CHAPALA	-103.05	20.21	62	ILIAMNA	-154.90	59.56
204	CHILKA	85.38	19.69	66	TAI	120.24	31.21
256	CHILWA	35.71	-15.32	67	KIVU	29.23	-2.04
84	CHIQUITA	-62.61	-30.74	68	WOLLASTON	-103.33	58.30
119	CHISHI	29.72	-8.71	69	EDWARD	29.61	-0.39
323	CHURCHILL	-108.29	55.96	73	TAPAJOS	-55.14	-2.88
125	CLAIRE	-112.08	58.59	75	HULUN	117.38	48.97
1188	CLEAR	-122.77	39.02	76	MISTASSINI	-73.81	50.82
275	CLINTON COLDEN	-107.45	63.94	83	NUELTIN	-99.40	60.25
277	COARI	-63.37	-4.25	84	CHIQUITA	-62.61	-30.74
219	COLHUE HUAPI	-68.76	-45.47	85	SYVASH	34.74	45.96
352	CONSTANCE	9.28	47.65	91	NAM	90.66	30.71
162	CONTWOYTO	-110.66	65.59	94	BUENOS AIRES	-72.50	-46.66
284	CORO	-69.86	11.56	95	VATTERN	14.57	58.33
137	CREE	-106.64	57.47	97	BAKER	-95.28	64.13
251	CROSS	-97.58	54.71	99	KYOGA	33.01	1.50
351	DAUPHIN	-99.77	51.27	100	MARTRE	-117.91	63.33
244	DEAD	35.49	31.52	101	MADRE	-97.66	24.64
326	DESCHAMBAULT	-103.45	54.78	105	ZILING	88.95	31.77
281	DORE	-107.28	54.76	109	HUNGTZE	118.53	33.34
49	DUBAWNT	-101.44	63.13	114	OKEECIIOBEE	-80.86	26.95
128	EAU CLAIRE	-74.40	56.15	115	ASTRAY	-66.32	54.38
297	EBI	82.92	44.86	117	ARGENTINO	-73.03	-50.33
305	EBRIE	-4.26	5.30	119	CHISHI	29.72	-8.71
69	EDWARD	29.61	-0.39	120	TENGIZ	68.90	50.44
390	EGRIDIR	30.85	38.07	121	HYARGAS	93.30	49.13
254	ENNADAI	-101.31	60.96	124	KASBA	-102.27	60.34
723	ENRIQUILLO	-71.58	18.49	125	CLAIRE	-112.08	58.59
12	ERIE	-81.16	42.25	126	YATHKYED	-98.07	62.69
149	ESKIMO	-132.76	69.10	127	RONGE	-104.83	55.11
270	EVANS	-77.02	50.97	128	EAU CLAIRE	-74.40	56.15
1029	EVORON	136.51	51.48	130	RAINY	-92.97	48.61
156	EYASI	35.04	-3.58	133	POOPO	-67.06	-18.81
304	FAGNANO	-68.03	-54.55	134	XINGU	-52.20	-2.16
315	FERGUSON	-105.27	69.41	135	SEVAN	45.29	40.39
404	FROBISHER	-108.22	56.37	136	VYG	34.84	63.54
227	GARRY	-99.40	65.95	137	CREE	-106.64	57.47
327	GENEVA	6.25	46.37	140	LIMFJORDEN	9.17	56.78
172	GODS	-94.21	54.62	141	KAGHASUK	-164.22	60.79
363	GRANVILLE	-100.21	56.40	142	HAR US	92.30	48.06
252	GRAS	-110.38	64.54	143	SHERMAN	-97.73	67.79
9	GREAT BEAR	-121.30	65.91	144	INARI	27.83	69.04
11	GREAT SLAVE	-114.37	62.09	145	BECHAROF	-156.40	57.85
253	GUILLAUME-DELISLE	-76.28	56.33	146	SAINT CLAIR	-82.73	42.50
294	HAR	93.21	48.05	147	LESSER SLAVE	-115.49	55.43
142	HAR US	92.30	48.06	149	ESKIMO	-132.76	69.10
302	HAR-HU	97.59	38.31	150	TOBA	98.90	2.61
214	HAUKIVESI	28.52	62.10	151	RED	-95.08	48.04
339	HAZEN	-70.94	81.80	152	ABERDEEN	-98.59	64.55
288	HIGHROCK	-100.44	55.83	153	CHAPALA	-103.05	20.21
189	HOTTAH	-118.44	64.95	155	BIENVILLE	-72.98	55.05
59	HOVSGOL	100.48	51.02	156	EYASI	35.04	-3.58
75	HULUN	117.38	48.97	157	PAIJANNE	25.49	61.71
109	HUNGTZE	118.53	33.34	158	SAINT JEAN	-72.02	48.66
5	HURON	-82.21	44.78	160	BELOYE	37.64	60.18
121	HYARGAS	93.30	49.13	162	CONTWOYTO	-110.66	65.59
62	ILIAMNA	-154.90	59.56	163	MALAREN	16.19	59.44
144	INARI	27.83	69.04	164	PURUVESI	29.02	61.77
293	INDIAN RIVER	-80.64	28.24	165	CHAMPLAIN	-73.27	44.45
174	ISLAND	-94.70	53.85	166	ABAYA	37.83	6.30
25	ISSYKKUL	77.25	42.46	167	SAN MARTIN	-72.84	-48.75
1441	ISTADA	67.92	32.48	169	WHOLDAIA	-104.15	60.69
245	IZABAL	-89.11	15.57	170	SELAWIK	-160.73	66.51
141	KAGHASUK	-164.22	60.79	171	VIEDMA	-72.56	-49.59
246	KAMINAK	-94.90	62.20	172	GODS	-94.21	54.62
320	KAMINURIAK	-95.79	62.96	174	ISLAND	-94.70	53.85
264	KAMlLUKUAK	-101.73	62.28	175	LUANG	100.38	7.46
287	KAOYU	119.31	32.87	176	MANAGUA	-86.35	12.32
197	KARA-BOGAZ-GOL	53.54	41.23	178	TAKIYUAK	-113.17	66.28
124	KASBA	-102.27	60.34	179	TERINAM	85.61	30.90
346	KEITELE	25.99	62.89	181	BAGHRASH	87.07	41.98
45	KHANKA	132.42	44.94	184	MACKAY	-111.30	63.96
218	KHANTAYSKOE	91.18	68.36	186	TOP	32.09	65.62
67	KIVU	29.23	-2.04	187	ORIVESI	29.59	62.35
41	KOKO	100.18	36.89	189	HOTTAH	-118.44	64.95
344	KRASNOE	174.44	64.53	191	BRAS D'OR	-60.83	45.95
262	KULUNDINSKOE	79.58	52.98	194	SALTON	-115.83	33.30
325	KWANIA	32.65	1.72	195	PIELINEN	29.71	63.16
382	KYARING	88.32	31.13	197	KARA-BOGAZ-GOL	53.54	41.23
99	KYOGA	33.01	1.50	198	NIPISSING	-79.92	46.24
331	LABAZ	99.57	72.27	204	CHILKA	85.38	19.69
16	LADOGA	31.39	60.84	205	BAY	121.26	14.36
147	LESSER SLAVE	-115.49	55.43	207	OMULAKH	145.59	72.29
140	LIMFJORDEN	9.17	56.78	209	LLANQUIHUE	-72.79	-41.14
209	LLANQUIHUE	-72.79	-41.14	210	ALEXANDRINA	139.09	-35.52
357	LOWER SEAL	-73.42	56.49	211	NONACHO	-108.92	61.82
175	LUANG	100.38	7.46	212	TESHEKPUK	-153.60	70.59
184	MACKAY	-111.30	63.96	213	PLAYGREEN	-97.75	54.07
101	MADRE	-97.66	24.64	214	HAUKIVESI	28.52	62.10
163	MALAREN	16.19	59.44	215	TANGRA	86.59	31.05
350	MALHEUR	-118.83	43.34	218	KHANTAYSKOE	91.18	68.36
176	MANAGUA	-86.35	12.32	219	COLHUE HUAPI	-68.76	-45.47
231	MANGUEIRA	-52.84	-33.16	222	PETER POND	-108.55	55.84
37	MANITOBA	-98.80	50.99	224	MINTO	-74.71	57.34
368	MANOUANE	-70.99	50.76	225	SOUTH MOOSE	-100.04	53.83
250	MANYCH-GUDILO	42.98	46.26	226	AYLMER	-108.46	64.15
100	MARTRE	-117.91	63.33	227	GARRY	-99.40	65.95
6	MICHIGAN	-87.09	43.86	228	SEG	33.76	63.32
366	MILLE LACS	-93.65	46.24	229	BARUN-TOREY	115.81	50.07
224	MINTO	-74.71	57.34	231	MANGUEIRA	-52.84	-33.16
46	MIRIM	-53.25	-32.89	232	POINT	-113.84	65.31
76	MISTASSINI	-73.81	50.82	233	CHAO	117.57	31.57
883	MONO	-118.96	38.01	235	TAMIAHUA	-97.57	21.66
286	MURRAY	141.53	-6.95	236	SIMCOE	-79.42	44.47
36	MWERU	28.74	-9.01	239	ULUNGUR	87.30	47.22
343	NAHUEL HUAPI	-71.52	-40.92	240	PYASINO	87.78	69.77
377	NAKNEK	-155.67	58.64	241	SARYKAMYSHSKOYE	57.61	41.88
91	NAM	90.66	30.71	244	DEAD	35.49	31.52
322	NATRON	36.02	-2.34	245	IZABAL	-89.11	15.57
338	NERPICH'YE	162.77	56.39	246	KAMINAK	-94.90	62.20
32	NETILLING	-70.28	66.42	247	SASYKKOL	80.91	46.58
300	NGORING	97.71	34.93	250	MANYCH-GUDILO	42.98	46.26
21	NICARAGUA	-85.36	11.57	251	CROSS	-97.58	54.71
38	NIPIGON	-88.55	49.80	252	GRAS	-110.38	64.54
198	NIPISSING	-79.92	46.24	253	GUILLAUME-DELISLE	-76.28	56.33
211	NONACHO	-108.92	61.82	254	ENNADAI	-101.31	60.96
303	NORTH MOOSE	-100.16	54.05	255	TUMBA	17.98	-0.82
83	NUELTIN	-99.40	60.25	256	CHILWA	35.71	-15.32
10	NYASA	34.59	-11.96	257	CARATASCA	-83.85	15.35
114	OKEECIIOBEE	-80.86	26.95	261	YAMDROK	90.76	28.97
336	OLING	97.27	34.92	262	KULUNDINSKOE	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	PYA	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	KAOYU	119.31	32.87
273	PYA	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
130	RAINY	-92.97	48.61	294	HAR	93.21	48.05
358	RAZELM	28.97	44.83	295	TAUPO	175.90	-38.81
151	RED	-95.08	48.04	297	EBI	82.92	44.86
28	REINDEER	-102.27	57.19	299	BUFFALO	-115.49	60.22
321	ROGOAGUADO	-65.73	-12.91	300	NGORING	97.71	34.93
127	RONGE	-104.83	55.11	302	HAR-HU	97.59	38.31
22	RUDOLF	36.08	3.53	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	SEG	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
579	SHAMO	37.55	5.83	325	KWANIA	32.65	1.72
143	SHERMAN	-97.73	67.79	326	DESCHAMBAULT	-103.45	54.78
236	SIMCOE	-79.42	44.47	327	GENEVA	6.25	46.37
27	SMALLWOOD	-64.31	54.19	331	LABAZ	99.57	72.27
365	SNOWBIRD	-102.94	60.64	332	TOWUTI	121.52	-2.79
319	SOUTH HENIK	-97.29	61.37	333	BLACK	-105.73	59.05
225	SOUTH MOOSE	-100.04	53.83	334	ARTILLERY	-107.82	63.17
2	SUPERIOR	-88.23	47.72	336	OLING	97.27	34.92
85	SYVASH	34.74	45.96	338	NERPICH'YE	162.77	56.39
380	TAHOE	-120.04	39.09	339	HAZEN	-70.94	81.80
66	TAI	120.24	31.21	340	WINNEBAGO	-88.42	44.02
178	TAKIYUAK	-113.17	66.28	343	NAHUEL HUAPI	-71.52	-40.92
235	TAMIAHUA	-97.57	21.66	344	KRASNOE	174.44	64.53
55	TANA	37.31	11.95	345	ASHUANIPI	-66.14	52.69
7	TANGANYIKA	29.46	-6.07	346	KEITELE	25.99	62.89
215	TANGRA	86.59	31.05	349	PERLAS	-83.67	12.54
73	TAPAJOS	-55.14	-2.88	350	MALHEUR	-118.83	43.34
316	TATHLINA	-117.64	60.54	351	DAUPHIN	-99.77	51.27
295	TAUPO	175.90	-38.81	352	CONSTANCE	9.28	47.65
43	TAYMYR	100.76	74.48	353	PAYNE	-73.82	59.40
373	TEBESJUAK	-98.98	63.76	354	ANG-LA JEN	83.09	31.53
120	TENGIZ	68.90	50.44	356	SANDY	-93.03	53.00
179	TERINAM	85.61	30.90	357	LOWER SEAL	-73.42	56.49
212	TESHEKPUK	-153.60	70.59	358	RAZELM	28.97	44.83
20	TITICACA	-69.30	-15.92	363	GRANVILLE	-100.21	56.40
150	TOBA	98.90	2.61	365	SNOWBIRD	-102.94	60.64
186	TOP	32.09	65.62	366	MILLE LACS	-93.65	46.24
332	TOWUTI	121.52	-2.79	367	TROUT	-121.13	60.58
367	TROUT	-121.13	60.58	368	MANOUANE	-70.99	50.76
269	TULEMALU	-99.48	62.99	373	TEBESJUAK	-98.98	63.76
255	TUMBA	17.98	-0.82	377	NAKNEK	-155.67	58.64
425	UBINSKOE	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	UBINSKOE	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	VYG	34.84	63.54	579	SHAMO	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 (0.05^ox0.05^o) 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 (0.00833^o) 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 (0.00833^o) 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 1.0^ox1.0^o resolution: 0=land, > 0=index of L2
L2 - 1.0^ox1.0^o cell at 0.1^o0.1^o resolution: 0=land, > 0=index of L3
L3 - 0.1^o0.1^o at 0.00833^ox0.00833^o 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

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 .