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Radar rainfall data for Baltimore, MD, USA


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Created: May 22, 2023 at 4:50 a.m.
Last updated: May 31, 2023 at 3:52 a.m.
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Abstract

The Baltimore radar rainfall dataset was developed from a multi-sensor analysis combining radar rainfall estimates from the Sterling, VA WSR88D radar (KLWX) with measurements from a collection of ground based rain gages. The archived data have a 15-minute time resolution and a grid resolution of 0.01 degree latitude/longitude (approximately 1 km x 1 km); 15-minute rainfall accumulations for each grid are in mm. The dataset spans 22 years, 2000-2021, and covers an area of approximately 4,900 km^2 (70 by 70 grids, each with approximate area of 1 km^2) surrounding the Baltimore, MD metropolitan area (Figure 1). The rainfall data cover the six months from April to September of each year. This is the period with most intense sub-daily rainfall and the period for which radar measurements are most accurate. Figure 1 illustrates the climatological analyses of mean annual frequency of days with at least 1 hour rainfall exceeding 25 mm. The striking spatial variability of convective rainfall is illustrated in Figure 2 by the April-September climatology of annual lightning strikes.

As with many long-term environmental data sets, sensor technology has changed during the time period of the archive. The Sterling, VA WSR88D radar underwent a hardware upgrade from single polarization to dual polarization in 2012. Prior to the upgrade, rainfall was estimated using a conventional radar-reflectivity algorithm (HydroNEXRAD) which converts reflectivity measurements in polar coordinates from the lowest sweep to rainfall estimates on a 0.01 degree latitude-longitude grid at the surface (see Seo et al. 2010 and Smith et al. 2012 for details on the algorithm). The polarimetric upgrade introduced new measurements into the radar-rainfall algorithm. In addition to reflectivity, the operational rainfall product, Digital Precipitation Rate (DPR), directly uses differential reflectivity and specific differential phase shift measurements to estimate rainfall (https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00708; see also Giangrande and Ryzhkov 2008). Details of the algorithm structure and parameterization for the DPR radar-rainfall estimates have been modified during the 10-year period of the data set.

A storm-based (daily) multiplicative mean field bias has been applied to both datasets. The mean field bias is computed as the ratio of daily rain gage rainfall at a point to daily radar rainfall for the bin that contains the gage. The rain gage dataset is compiled from rain gages in the Baltimore metropolitan region and surrounding areas and includes gages acquired from both Baltimore City and Baltimore County, and the Global Historical Climatology Network daily (GHCNd). Mean field bias improves rainfall estimates and diminishes the impacts of changing measurement procedures.

The dataset has been archived in 2 formats: netCDF gridded rainfall, 1 file for each 15-minute time period, and csv or excel format point rainfall (1 point at the center of each grid) in a timeseries format with 1 file per calendar month covering the entire 70x70 domain. The csv files are in folders organized by calendar year. The first five columns in each file represent year, month, day, hour, and minute and can be combined to generate a unique date-time value for each time step. Each additional column is a complete time series for the month and represents data from one of the 1-km2 grid cells in the original data set.

The latitude and longitude coordinates for each pixel in the grid are provided. The latitude and longitude represent the centroid of the cell, which is square when represented in latitude and longitude coordinates and rectangular when represented in other distance-based coordinate systems such as State Plane or Universal Transverse Mercator. There are 4900 pixels in the domain. In order to visualize the data using GIS or other software, the user needs to associate each column in the annual rainfall file with the latitude and longitude values for that grid cell number.

These data may be subject to modest revision or reformatting in future versions. The current version is version 2.0 and is being offered to users who wish to explore the data. We will revise this document as needed.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Baltimore, MD
North Latitude
39.6500°
East Longitude
-76.3000°
South Latitude
38.9500°
West Longitude
-77.0000°

Temporal

Start Date:
End Date:

Content

Readme.txt

# Site Information 
# ---------------------------------- 
# SiteName: Baltimore, MD 
# Latitude: 38.95 to 39.65
# Longitude: -77.0 to -76.3
# LatLonDatum: NAD83 
# State: Maryland 
# Counties: Baltimore, Baltimore City, Harford, Howard, Anne Arundel
# Comments:   
# SiteType: Atmosphere 
#
# Variable and Method Information 
# ---------------------------------- 
# VariableName: Precipitation
# VariableUnitsName: millimeters of water
# VariableUnitsType: depth
# VariableUnitsAbbreviation: mm 
#
# ValueType: Derived Value 
# DataType: Incremental
#
# GeneralCategory: Climate   
# SampleMedium: Precipitation
# NoDataValue: 
# TimeSupport: 0.0  
# TimeSupportUnitsAbbreviation: min  
# TimeSupportUnitsType: Time  
# TimeSupportUnitsName: minute
# 
# MethodDescription: The Sterling, VA WSR88D radar underwent a hardware upgrade from single polarization to dual polarization in 2012.  Prior to the upgrade, rainfall was estimated using a conventional radar-reflectivity algorithm (HydroNEXRAD) which converts reflectivity measurements in polar coordinates from the lowest sweep to rainfall estimates on a 0.01 degree latitude-longitude grid at the surface (see Seo et al. 2010 and Smith et al.  2012 for details on the algorithm). The polarimetric upgrade introduced new measurements into the radar-rainfall algorithm. In addition to reflectivity, the operational rainfall product, Digital Precipitation Rate (DPR), directly uses differential reflectivity and specific differential phase shift measurements to estimate rainfall  (https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00708; see also Giangrande and Ryzhkov 2008). Details of the algorithm structure and parameterization for the DPR radar-rainfall estimates have been modified during the 10-year period of the data set.
#
# A storm-based (daily) multiplicative mean field bias has been applied to both datasets.  The mean field bias is computed as the ratio of daily rain gage rainfall at a point to daily radar rainfall for the bin that contains the gage. The rain gage dataset is compiled from rain gages in the Baltimore metropolitan region and surrounding areas and includes gages acquired from both Baltimore City and Baltimore County, and the Global Historical Climatology Network daily (GHCNd).  Mean field bias improves rainfall estimates and diminishes the impacts of changing measurement procedures.
#
# The dataset has been archived in 2 formats: netCDF gridded rainfall, 1 file for each 15-minute time period, and csv or excel format point rainfall (1 point at the center of each grid) in a timeseries format with 1 file per calendar month covering the entire 70x70 domain. The csv files are in folders organized by calendar year. The first five columns in each file represent year, month, day, hour, and minute and can be combined to generate a unique date-time value for each time step. Each additional column is a complete time series for the month and represents data from one of the 1-km2 grid cells in the original data set. 

# The latitude and longitude coordinates for each pixel in the grid are provided below. The latitude and longitude represent the centroid of the cell, which is square when represented in latitude and longitude coordinates and rectangular when represented in other distance-based coordinate systems such as State Plane or Universal Transverse Mercator. There are 4900 pixels in the domain. In order to visualize the data using GIS or other software, the user needs to associate each column in the annual rainfall file with the latitude and longitude values for that grid cell number. 

# Giangrande, S. E. and A.V. Ryzhkov. 2008. Estimation of rainfall based on the results of polarimetric echo classification. Journal of Applied Meteorology and Climatology, https://doi.org/10.1175/2008JAMC1753.1
#
# Seo, B. -C., W. F. Krajewski, A. Kruger, P. Domaszczynski , J. A. Smith and M. Steiner. 2011.  Radar-rainfall estimation algorithms of Hydro-NEXRAD, Journal of Hydroinformatics, https://doi.org/10.2166/hydro.2010.003
#
# Smith, J. A., M. L.Baeck, G. Villarini, C. Welty, A. J. Miller, W. F. Krajewski. 2012.  Analyses of a long-term high-resolution radar rainfall data set for the Baltimore metropolitan region, Water Resources Research, https://doi.org/10.1029/2011WR010641.
#
# Processing Level
#-----------------------------------
# QualityControlLevelCode: QC1
# QualityControlLevelDefinition: Quality controlled data.
# QualityControlLevelExplanation: Data have passed quality control processing.
#
# Source Information
# ----------------------------------
# Organization: Princeton University
# ContactName: Mary Lynn Baeck
# Email: mlbaeck@Princeton.EDU
# Baeck, M. L., J. A. Smith (2023). Rainfall radar data for Baltimore, MD, USA, HydroShare, http://www.hydroshare.org/resource/ae004ca9deb442958c32f0457579c4f0
#
# UTC Offset
-----------------------------------
# UTCOffset: 0  
#
# Cell IDs
-----------------------------------------
# GridCell	Latitude	Longitude
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1053	39.10	-76.9696
1054	39.10	-76.9594
1055	39.10	-76.9493
1056	39.10	-76.9391
1057	39.10	-76.9290
1058	39.10	-76.9188
1059	39.10	-76.9087
1060	39.10	-76.8986
1061	39.10	-76.8884
1062	39.10	-76.8783
1063	39.10	-76.8681
1064	39.10	-76.8580
1065	39.10	-76.8478
1066	39.10	-76.8377
1067	39.10	-76.8275
1068	39.10	-76.8174
1069	39.10	-76.8072
1070	39.10	-76.7971
1071	39.10	-76.7870
1072	39.10	-76.7768
1073	39.10	-76.7667
1074	39.10	-76.7565
1075	39.10	-76.7464
1076	39.10	-76.7362
1077	39.10	-76.7261
1078	39.10	-76.7159
1079	39.10	-76.7058
1080	39.10	-76.6957
1081	39.10	-76.6855
1082	39.10	-76.6754
1083	39.10	-76.6652
1084	39.10	-76.6551
1085	39.10	-76.6449
1086	39.10	-76.6348
1087	39.10	-76.6246
1088	39.10	-76.6145
1089	39.10	-76.6043
1090	39.10	-76.5942
1091	39.10	-76.5841
1092	39.10	-76.5739
1093	39.10	-76.5638
1094	39.10	-76.5536
1095	39.10	-76.5435
1096	39.10	-76.5333
1097	39.10	-76.5232
1098	39.10	-76.5130
1099	39.10	-76.5029
1100	39.10	-76.4928
1101	39.10	-76.4826
1102	39.10	-76.4725
1103	39.10	-76.4623
1104	39.10	-76.4522
1105	39.10	-76.4420
1106	39.10	-76.4319
1107	39.10	-76.4217
1108	39.10	-76.4116
1109	39.10	-76.4014
1110	39.10	-76.3913
1111	39.10	-76.3812
1112	39.10	-76.3710
1113	39.10	-76.3609
1114	39.10	-76.3507
1115	39.10	-76.3406
1116	39.10	-76.3304
1117	39.10	-76.3203
1118	39.10	-76.3101
1119	39.10	-76.3000
1120	39.11	-77.0000
1121	39.11	-76.9899
1122	39.11	-76.9797
1123	39.11	-76.9696
1124	39.11	-76.9594
1125	39.11	-76.9493
1126	39.11	-76.9391
1127	39.11	-76.9290
1128	39.11	-76.9188
1129	39.11	-76.9087
1130	39.11	-76.8986
1131	39.11	-76.8884
1132	39.11	-76.8783
1133	39.11	-76.8681
1134	39.11	-76.8580
1135	39.11	-76.8478
1136	39.11	-76.8377
1137	39.11	-76.8275
1138	39.11	-76.8174
1139	39.11	-76.8072
1140	39.11	-76.7971
1141	39.11	-76.7870
1142	39.11	-76.7768
1143	39.11	-76.7667
1144	39.11	-76.7565
1145	39.11	-76.7464
1146	39.11	-76.7362
1147	39.11	-76.7261
1148	39.11	-76.7159
1149	39.11	-76.7058
1150	39.11	-76.6957
1151	39.11	-76.6855
1152	39.11	-76.6754
1153	39.11	-76.6652
1154	39.11	-76.6551
1155	39.11	-76.6449
1156	39.11	-76.6348
1157	39.11	-76.6246
1158	39.11	-76.6145
1159	39.11	-76.6043
1160	39.11	-76.5942
1161	39.11	-76.5841
1162	39.11	-76.5739
1163	39.11	-76.5638
1164	39.11	-76.5536
1165	39.11	-76.5435
1166	39.11	-76.5333
1167	39.11	-76.5232
1168	39.11	-76.5130
1169	39.11	-76.5029
1170	39.11	-76.4928
1171	39.11	-76.4826
1172	39.11	-76.4725
1173	39.11	-76.4623
1174	39.11	-76.4522
1175	39.11	-76.4420
1176	39.11	-76.4319
1177	39.11	-76.4217
1178	39.11	-76.4116
1179	39.11	-76.4014
1180	39.11	-76.3913
1181	39.11	-76.3812
1182	39.11	-76.3710
1183	39.11	-76.3609
1184	39.11	-76.3507
1185	39.11	-76.3406
1186	39.11	-76.3304
1187	39.11	-76.3203
1188	39.11	-76.3101
1189	39.11	-76.3000
1190	39.12	-77.0000
1191	39.12	-76.9899
1192	39.12	-76.9797
1193	39.12	-76.9696
1194	39.12	-76.9594
1195	39.12	-76.9493
1196	39.12	-76.9391
1197	39.12	-76.9290
1198	39.12	-76.9188
1199	39.12	-76.9087
1200	39.12	-76.8986
1201	39.12	-76.8884
1202	39.12	-76.8783
1203	39.12	-76.8681
1204	39.12	-76.8580
1205	39.12	-76.8478
1206	39.12	-76.8377
1207	39.12	-76.8275
1208	39.12	-76.8174
1209	39.12	-76.8072
1210	39.12	-76.7971
1211	39.12	-76.7870
1212	39.12	-76.7768
1213	39.12	-76.7667
1214	39.12	-76.7565
1215	39.12	-76.7464
1216	39.12	-76.7362
1217	39.12	-76.7261
1218	39.12	-76.7159
1219	39.12	-76.7058
1220	39.12	-76.6957
1221	39.12	-76.6855
1222	39.12	-76.6754
1223	39.12	-76.6652
1224	39.12	-76.6551
1225	39.12	-76.6449
1226	39.12	-76.6348
1227	39.12	-76.6246
1228	39.12	-76.6145
1229	39.12	-76.6043
1230	39.12	-76.5942
1231	39.12	-76.5841
1232	39.12	-76.5739
1233	39.12	-76.5638
1234	39.12	-76.5536
1235	39.12	-76.5435
1236	39.12	-76.5333
1237	39.12	-76.5232
1238	39.12	-76.5130
1239	39.12	-76.5029
1240	39.12	-76.4928
1241	39.12	-76.4826
1242	39.12	-76.4725
1243	39.12	-76.4623
1244	39.12	-76.4522
1245	39.12	-76.4420
1246	39.12	-76.4319
1247	39.12	-76.4217
1248	39.12	-76.4116
1249	39.12	-76.4014
1250	39.12	-76.3913
1251	39.12	-76.3812
1252	39.12	-76.3710
1253	39.12	-76.3609
1254	39.12	-76.3507
1255	39.12	-76.3406
1256	39.12	-76.3304
1257	39.12	-76.3203
1258	39.12	-76.3101
1259	39.12	-76.3000
1260	39.13	-77.0000
1261	39.13	-76.9899
1262	39.13	-76.9797
1263	39.13	-76.9696
1264	39.13	-76.9594
1265	39.13	-76.9493
1266	39.13	-76.9391
1267	39.13	-76.9290
1268	39.13	-76.9188
1269	39.13	-76.9087
1270	39.13	-76.8986
1271	39.13	-76.8884
1272	39.13	-76.8783
1273	39.13	-76.8681
1274	39.13	-76.8580
1275	39.13	-76.8478
1276	39.13	-76.8377
1277	39.13	-76.8275
1278	39.13	-76.8174
1279	39.13	-76.8072
1280	39.13	-76.7971
1281	39.13	-76.7870
1282	39.13	-76.7768
1283	39.13	-76.7667
1284	39.13	-76.7565
1285	39.13	-76.7464
1286	39.13	-76.7362
1287	39.13	-76.7261
1288	39.13	-76.7159
1289	39.13	-76.7058
1290	39.13	-76.6957
1291	39.13	-76.6855
1292	39.13	-76.6754
1293	39.13	-76.6652
1294	39.13	-76.6551
1295	39.13	-76.6449
1296	39.13	-76.6348
1297	39.13	-76.6246
1298	39.13	-76.6145
1299	39.13	-76.6043
1300	39.13	-76.5942
1301	39.13	-76.5841
1302	39.13	-76.5739
1303	39.13	-76.5638
1304	39.13	-76.5536
1305	39.13	-76.5435
1306	39.13	-76.5333
1307	39.13	-76.5232
1308	39.13	-76.5130
1309	39.13	-76.5029
1310	39.13	-76.4928
1311	39.13	-76.4826
1312	39.13	-76.4725
1313	39.13	-76.4623
1314	39.13	-76.4522
1315	39.13	-76.4420
1316	39.13	-76.4319
1317	39.13	-76.4217
1318	39.13	-76.4116
1319	39.13	-76.4014
1320	39.13	-76.3913
1321	39.13	-76.3812
1322	39.13	-76.3710
1323	39.13	-76.3609
1324	39.13	-76.3507
1325	39.13	-76.3406
1326	39.13	-76.3304
1327	39.13	-76.3203
1328	39.13	-76.3101
1329	39.13	-76.3000
1330	39.14	-77.0000
1331	39.14	-76.9899
1332	39.14	-76.9797
1333	39.14	-76.9696
1334	39.14	-76.9594
1335	39.14	-76.9493
1336	39.14	-76.9391
1337	39.14	-76.9290
1338	39.14	-76.9188
1339	39.14	-76.9087
1340	39.14	-76.8986
1341	39.14	-76.8884
1342	39.14	-76.8783
1343	39.14	-76.8681
1344	39.14	-76.8580
1345	39.14	-76.8478
1346	39.14	-76.8377
1347	39.14	-76.8275
1348	39.14	-76.8174
1349	39.14	-76.8072
1350	39.14	-76.7971
1351	39.14	-76.7870
1352	39.14	-76.7768
1353	39.14	-76.7667
1354	39.14	-76.7565
1355	39.14	-76.7464
1356	39.14	-76.7362
1357	39.14	-76.7261
1358	39.14	-76.7159
1359	39.14	-76.7058
1360	39.14	-76.6957
1361	39.14	-76.6855
1362	39.14	-76.6754
1363	39.14	-76.6652
1364	39.14	-76.6551
1365	39.14	-76.6449
1366	39.14	-76.6348
1367	39.14	-76.6246
1368	39.14	-76.6145
1369	39.14	-76.6043
1370	39.14	-76.5942
1371	39.14	-76.5841
1372	39.14	-76.5739
1373	39.14	-76.5638
1374	39.14	-76.5536
1375	39.14	-76.5435
1376	39.14	-76.5333
1377	39.14	-76.5232
1378	39.14	-76.5130
1379	39.14	-76.5029
1380	39.14	-76.4928
1381	39.14	-76.4826
1382	39.14	-76.4725
1383	39.14	-76.4623
1384	39.14	-76.4522
1385	39.14	-76.4420
1386	39.14	-76.4319
1387	39.14	-76.4217
1388	39.14	-76.4116
1389	39.14	-76.4014
1390	39.14	-76.3913
1391	39.14	-76.3812
1392	39.14	-76.3710
1393	39.14	-76.3609
1394	39.14	-76.3507
1395	39.14	-76.3406
1396	39.14	-76.3304
1397	39.14	-76.3203
1398	39.14	-76.3101
1399	39.14	-76.3000
1400	39.15	-77.0000
1401	39.15	-76.9899
1402	39.15	-76.9797
1403	39.15	-76.9696
1404	39.15	-76.9594
1405	39.15	-76.9493
1406	39.15	-76.9391
1407	39.15	-76.9290
1408	39.15	-76.9188
1409	39.15	-76.9087
1410	39.15	-76.8986
1411	39.15	-76.8884
1412	39.15	-76.8783
1413	39.15	-76.8681
1414	39.15	-76.8580
1415	39.15	-76.8478
1416	39.15	-76.8377
1417	39.15	-76.8275
1418	39.15	-76.8174
1419	39.15	-76.8072
1420	39.15	-76.7971
1421	39.15	-76.7870
1422	39.15	-76.7768
1423	39.15	-76.7667
1424	39.15	-76.7565
1425	39.15	-76.7464
1426	39.15	-76.7362
1427	39.15	-76.7261
1428	39.15	-76.7159
1429	39.15	-76.7058
1430	39.15	-76.6957
1431	39.15	-76.6855
1432	39.15	-76.6754
1433	39.15	-76.6652
1434	39.15	-76.6551
1435	39.15	-76.6449
1436	39.15	-76.6348
1437	39.15	-76.6246
1438	39.15	-76.6145
1439	39.15	-76.6043
1440	39.15	-76.5942
1441	39.15	-76.5841
1442	39.15	-76.5739
1443	39.15	-76.5638
1444	39.15	-76.5536
1445	39.15	-76.5435
1446	39.15	-76.5333
1447	39.15	-76.5232
1448	39.15	-76.5130
1449	39.15	-76.5029
1450	39.15	-76.4928
1451	39.15	-76.4826
1452	39.15	-76.4725
1453	39.15	-76.4623
1454	39.15	-76.4522
1455	39.15	-76.4420
1456	39.15	-76.4319
1457	39.15	-76.4217
1458	39.15	-76.4116
1459	39.15	-76.4014
1460	39.15	-76.3913
1461	39.15	-76.3812
1462	39.15	-76.3710
1463	39.15	-76.3609
1464	39.15	-76.3507
1465	39.15	-76.3406
1466	39.15	-76.3304
1467	39.15	-76.3203
1468	39.15	-76.3101
1469	39.15	-76.3000
1470	39.16	-77.0000
1471	39.16	-76.9899
1472	39.16	-76.9797
1473	39.16	-76.9696
1474	39.16	-76.9594
1475	39.16	-76.9493
1476	39.16	-76.9391
1477	39.16	-76.9290
1478	39.16	-76.9188
1479	39.16	-76.9087
1480	39.16	-76.8986
1481	39.16	-76.8884
1482	39.16	-76.8783
1483	39.16	-76.8681
1484	39.16	-76.8580
1485	39.16	-76.8478
1486	39.16	-76.8377
1487	39.16	-76.8275
1488	39.16	-76.8174
1489	39.16	-76.8072
1490	39.16	-76.7971
1491	39.16	-76.7870
1492	39.16	-76.7768
1493	39.16	-76.7667
1494	39.16	-76.7565
1495	39.16	-76.7464
1496	39.16	-76.7362
1497	39.16	-76.7261
1498	39.16	-76.7159
1499	39.16	-76.7058
1500	39.16	-76.6957
1501	39.16	-76.6855
1502	39.16	-76.6754
1503	39.16	-76.6652
1504	39.16	-76.6551
1505	39.16	-76.6449
1506	39.16	-76.6348
1507	39.16	-76.6246
1508	39.16	-76.6145
1509	39.16	-76.6043
1510	39.16	-76.5942
1511	39.16	-76.5841
1512	39.16	-76.5739
1513	39.16	-76.5638
1514	39.16	-76.5536
1515	39.16	-76.5435
1516	39.16	-76.5333
1517	39.16	-76.5232
1518	39.16	-76.5130
1519	39.16	-76.5029
1520	39.16	-76.4928
1521	39.16	-76.4826
1522	39.16	-76.4725
1523	39.16	-76.4623
1524	39.16	-76.4522
1525	39.16	-76.4420
1526	39.16	-76.4319
1527	39.16	-76.4217
1528	39.16	-76.4116
1529	39.16	-76.4014
1530	39.16	-76.3913
1531	39.16	-76.3812
1532	39.16	-76.3710
1533	39.16	-76.3609
1534	39.16	-76.3507
1535	39.16	-76.3406
1536	39.16	-76.3304
1537	39.16	-76.3203
1538	39.16	-76.3101
1539	39.16	-76.3000
1540	39.17	-77.0000
1541	39.17	-76.9899
1542	39.17	-76.9797
1543	39.17	-76.9696
1544	39.17	-76.9594
1545	39.17	-76.9493
1546	39.17	-76.9391
1547	39.17	-76.9290
1548	39.17	-76.9188
1549	39.17	-76.9087
1550	39.17	-76.8986
1551	39.17	-76.8884
1552	39.17	-76.8783
1553	39.17	-76.8681
1554	39.17	-76.8580
1555	39.17	-76.8478
1556	39.17	-76.8377
1557	39.17	-76.8275
1558	39.17	-76.8174
1559	39.17	-76.8072
1560	39.17	-76.7971
1561	39.17	-76.7870
1562	39.17	-76.7768
1563	39.17	-76.7667
1564	39.17	-76.7565
1565	39.17	-76.7464
1566	39.17	-76.7362
1567	39.17	-76.7261
1568	39.17	-76.7159
1569	39.17	-76.7058
1570	39.17	-76.6957
1571	39.17	-76.6855
1572	39.17	-76.6754
1573	39.17	-76.6652
1574	39.17	-76.6551
1575	39.17	-76.6449
1576	39.17	-76.6348
1577	39.17	-76.6246
1578	39.17	-76.6145
1579	39.17	-76.6043
1580	39.17	-76.5942
1581	39.17	-76.5841
1582	39.17	-76.5739
1583	39.17	-76.5638
1584	39.17	-76.5536
1585	39.17	-76.5435
1586	39.17	-76.5333
1587	39.17	-76.5232
1588	39.17	-76.5130
1589	39.17	-76.5029
1590	39.17	-76.4928
1591	39.17	-76.4826
1592	39.17	-76.4725
1593	39.17	-76.4623
1594	39.17	-76.4522
1595	39.17	-76.4420
1596	39.17	-76.4319
1597	39.17	-76.4217
1598	39.17	-76.4116
1599	39.17	-76.4014
1600	39.17	-76.3913
1601	39.17	-76.3812
1602	39.17	-76.3710
1603	39.17	-76.3609
1604	39.17	-76.3507
1605	39.17	-76.3406
1606	39.17	-76.3304
1607	39.17	-76.3203
1608	39.17	-76.3101
1609	39.17	-76.3000
1610	39.18	-77.0000
1611	39.18	-76.9899
1612	39.18	-76.9797
1613	39.18	-76.9696
1614	39.18	-76.9594
1615	39.18	-76.9493
1616	39.18	-76.9391
1617	39.18	-76.9290
1618	39.18	-76.9188
1619	39.18	-76.9087
1620	39.18	-76.8986
1621	39.18	-76.8884
1622	39.18	-76.8783
1623	39.18	-76.8681
1624	39.18	-76.8580
1625	39.18	-76.8478
1626	39.18	-76.8377
1627	39.18	-76.8275
1628	39.18	-76.8174
1629	39.18	-76.8072
1630	39.18	-76.7971
1631	39.18	-76.7870
1632	39.18	-76.7768
1633	39.18	-76.7667
1634	39.18	-76.7565
1635	39.18	-76.7464
1636	39.18	-76.7362
1637	39.18	-76.7261
1638	39.18	-76.7159
1639	39.18	-76.7058
1640	39.18	-76.6957
1641	39.18	-76.6855
1642	39.18	-76.6754
1643	39.18	-76.6652
1644	39.18	-76.6551
1645	39.18	-76.6449
1646	39.18	-76.6348
1647	39.18	-76.6246
1648	39.18	-76.6145
1649	39.18	-76.6043
1650	39.18	-76.5942
1651	39.18	-76.5841
1652	39.18	-76.5739
1653	39.18	-76.5638
1654	39.18	-76.5536
1655	39.18	-76.5435
1656	39.18	-76.5333
1657	39.18	-76.5232
1658	39.18	-76.5130
1659	39.18	-76.5029
1660	39.18	-76.4928
1661	39.18	-76.4826
1662	39.18	-76.4725
1663	39.18	-76.4623
1664	39.18	-76.4522
1665	39.18	-76.4420
1666	39.18	-76.4319
1667	39.18	-76.4217
1668	39.18	-76.4116
1669	39.18	-76.4014
1670	39.18	-76.3913
1671	39.18	-76.3812
1672	39.18	-76.3710
1673	39.18	-76.3609
1674	39.18	-76.3507
1675	39.18	-76.3406
1676	39.18	-76.3304
1677	39.18	-76.3203
1678	39.18	-76.3101
1679	39.18	-76.3000
1680	39.19	-77.0000
1681	39.19	-76.9899
1682	39.19	-76.9797
1683	39.19	-76.9696
1684	39.19	-76.9594
1685	39.19	-76.9493
1686	39.19	-76.9391
1687	39.19	-76.9290
1688	39.19	-76.9188
1689	39.19	-76.9087
1690	39.19	-76.8986
1691	39.19	-76.8884
1692	39.19	-76.8783
1693	39.19	-76.8681
1694	39.19	-76.8580
1695	39.19	-76.8478
1696	39.19	-76.8377
1697	39.19	-76.8275
1698	39.19	-76.8174
1699	39.19	-76.8072
1700	39.19	-76.7971
1701	39.19	-76.7870
1702	39.19	-76.7768
1703	39.19	-76.7667
1704	39.19	-76.7565
1705	39.19	-76.7464
1706	39.19	-76.7362
1707	39.19	-76.7261
1708	39.19	-76.7159
1709	39.19	-76.7058
1710	39.19	-76.6957
1711	39.19	-76.6855
1712	39.19	-76.6754
1713	39.19	-76.6652
1714	39.19	-76.6551
1715	39.19	-76.6449
1716	39.19	-76.6348
1717	39.19	-76.6246
1718	39.19	-76.6145
1719	39.19	-76.6043
1720	39.19	-76.5942
1721	39.19	-76.5841
1722	39.19	-76.5739
1723	39.19	-76.5638
1724	39.19	-76.5536
1725	39.19	-76.5435
1726	39.19	-76.5333
1727	39.19	-76.5232
1728	39.19	-76.5130
1729	39.19	-76.5029
1730	39.19	-76.4928
1731	39.19	-76.4826
1732	39.19	-76.4725
1733	39.19	-76.4623
1734	39.19	-76.4522
1735	39.19	-76.4420
1736	39.19	-76.4319
1737	39.19	-76.4217
1738	39.19	-76.4116
1739	39.19	-76.4014
1740	39.19	-76.3913
1741	39.19	-76.3812
1742	39.19	-76.3710
1743	39.19	-76.3609
1744	39.19	-76.3507
1745	39.19	-76.3406
1746	39.19	-76.3304
1747	39.19	-76.3203
1748	39.19	-76.3101
1749	39.19	-76.3000
1750	39.20	-77.0000
1751	39.20	-76.9899
1752	39.20	-76.9797
1753	39.20	-76.9696
1754	39.20	-76.9594
1755	39.20	-76.9493
1756	39.20	-76.9391
1757	39.20	-76.9290
1758	39.20	-76.9188
1759	39.20	-76.9087
1760	39.20	-76.8986
1761	39.20	-76.8884
1762	39.20	-76.8783
1763	39.20	-76.8681
1764	39.20	-76.8580
1765	39.20	-76.8478
1766	39.20	-76.8377
1767	39.20	-76.8275
1768	39.20	-76.8174
1769	39.20	-76.8072
1770	39.20	-76.7971
1771	39.20	-76.7870
1772	39.20	-76.7768
1773	39.20	-76.7667
1774	39.20	-76.7565
1775	39.20	-76.7464
1776	39.20	-76.7362
1777	39.20	-76.7261
1778	39.20	-76.7159
1779	39.20	-76.7058
1780	39.20	-76.6957
1781	39.20	-76.6855
1782	39.20	-76.6754
1783	39.20	-76.6652
1784	39.20	-76.6551
1785	39.20	-76.6449
1786	39.20	-76.6348
1787	39.20	-76.6246
1788	39.20	-76.6145
1789	39.20	-76.6043
1790	39.20	-76.5942
1791	39.20	-76.5841
1792	39.20	-76.5739
1793	39.20	-76.5638
1794	39.20	-76.5536
1795	39.20	-76.5435
1796	39.20	-76.5333
1797	39.20	-76.5232
1798	39.20	-76.5130
1799	39.20	-76.5029
1800	39.20	-76.4928
1801	39.20	-76.4826
1802	39.20	-76.4725
1803	39.20	-76.4623
1804	39.20	-76.4522
1805	39.20	-76.4420
1806	39.20	-76.4319
1807	39.20	-76.4217
1808	39.20	-76.4116
1809	39.20	-76.4014
1810	39.20	-76.3913
1811	39.20	-76.3812
1812	39.20	-76.3710
1813	39.20	-76.3609
1814	39.20	-76.3507
1815	39.20	-76.3406
1816	39.20	-76.3304
1817	39.20	-76.3203
1818	39.20	-76.3101
1819	39.20	-76.3000
1820	39.21	-77.0000
1821	39.21	-76.9899
1822	39.21	-76.9797
1823	39.21	-76.9696
1824	39.21	-76.9594
1825	39.21	-76.9493
1826	39.21	-76.9391
1827	39.21	-76.9290
1828	39.21	-76.9188
1829	39.21	-76.9087
1830	39.21	-76.8986
1831	39.21	-76.8884
1832	39.21	-76.8783
1833	39.21	-76.8681
1834	39.21	-76.8580
1835	39.21	-76.8478
1836	39.21	-76.8377
1837	39.21	-76.8275
1838	39.21	-76.8174
1839	39.21	-76.8072
1840	39.21	-76.7971
1841	39.21	-76.7870
1842	39.21	-76.7768
1843	39.21	-76.7667
1844	39.21	-76.7565
1845	39.21	-76.7464
1846	39.21	-76.7362
1847	39.21	-76.7261
1848	39.21	-76.7159
1849	39.21	-76.7058
1850	39.21	-76.6957
1851	39.21	-76.6855
1852	39.21	-76.6754
1853	39.21	-76.6652
1854	39.21	-76.6551
1855	39.21	-76.6449
1856	39.21	-76.6348
1857	39.21	-76.6246
1858	39.21	-76.6145
1859	39.21	-76.6043
1860	39.21	-76.5942
1861	39.21	-76.5841
1862	39.21	-76.5739
1863	39.21	-76.5638
1864	39.21	-76.5536
1865	39.21	-76.5435
1866	39.21	-76.5333
1867	39.21	-76.5232
1868	39.21	-76.5130
1869	39.21	-76.5029
1870	39.21	-76.4928
1871	39.21	-76.4826
1872	39.21	-76.4725
1873	39.21	-76.4623
1874	39.21	-76.4522
1875	39.21	-76.4420
1876	39.21	-76.4319
1877	39.21	-76.4217
1878	39.21	-76.4116
1879	39.21	-76.4014
1880	39.21	-76.3913
1881	39.21	-76.3812
1882	39.21	-76.3710
1883	39.21	-76.3609
1884	39.21	-76.3507
1885	39.21	-76.3406
1886	39.21	-76.3304
1887	39.21	-76.3203
1888	39.21	-76.3101
1889	39.21	-76.3000
1890	39.22	-77.0000
1891	39.22	-76.9899
1892	39.22	-76.9797
1893	39.22	-76.9696
1894	39.22	-76.9594
1895	39.22	-76.9493
1896	39.22	-76.9391
1897	39.22	-76.9290
1898	39.22	-76.9188
1899	39.22	-76.9087
1900	39.22	-76.8986
1901	39.22	-76.8884
1902	39.22	-76.8783
1903	39.22	-76.8681
1904	39.22	-76.8580
1905	39.22	-76.8478
1906	39.22	-76.8377
1907	39.22	-76.8275
1908	39.22	-76.8174
1909	39.22	-76.8072
1910	39.22	-76.7971
1911	39.22	-76.7870
1912	39.22	-76.7768
1913	39.22	-76.7667
1914	39.22	-76.7565
1915	39.22	-76.7464
1916	39.22	-76.7362
1917	39.22	-76.7261
1918	39.22	-76.7159
1919	39.22	-76.7058
1920	39.22	-76.6957
1921	39.22	-76.6855
1922	39.22	-76.6754
1923	39.22	-76.6652
1924	39.22	-76.6551
1925	39.22	-76.6449
1926	39.22	-76.6348
1927	39.22	-76.6246
1928	39.22	-76.6145
1929	39.22	-76.6043
1930	39.22	-76.5942
1931	39.22	-76.5841
1932	39.22	-76.5739
1933	39.22	-76.5638
1934	39.22	-76.5536
1935	39.22	-76.5435
1936	39.22	-76.5333
1937	39.22	-76.5232
1938	39.22	-76.5130
1939	39.22	-76.5029
1940	39.22	-76.4928
1941	39.22	-76.4826
1942	39.22	-76.4725
1943	39.22	-76.4623
1944	39.22	-76.4522
1945	39.22	-76.4420
1946	39.22	-76.4319
1947	39.22	-76.4217
1948	39.22	-76.4116
1949	39.22	-76.4014
1950	39.22	-76.3913
1951	39.22	-76.3812
1952	39.22	-76.3710
1953	39.22	-76.3609
1954	39.22	-76.3507
1955	39.22	-76.3406
1956	39.22	-76.3304
1957	39.22	-76.3203
1958	39.22	-76.3101
1959	39.22	-76.3000
1960	39.23	-77.0000
1961	39.23	-76.9899
1962	39.23	-76.9797
1963	39.23	-76.9696
1964	39.23	-76.9594
1965	39.23	-76.9493
1966	39.23	-76.9391
1967	39.23	-76.9290
1968	39.23	-76.9188
1969	39.23	-76.9087
1970	39.23	-76.8986
1971	39.23	-76.8884
1972	39.23	-76.8783
1973	39.23	-76.8681
1974	39.23	-76.8580
1975	39.23	-76.8478
1976	39.23	-76.8377
1977	39.23	-76.8275
1978	39.23	-76.8174
1979	39.23	-76.8072
1980	39.23	-76.7971
1981	39.23	-76.7870
1982	39.23	-76.7768
1983	39.23	-76.7667
1984	39.23	-76.7565
1985	39.23	-76.7464
1986	39.23	-76.7362
1987	39.23	-76.7261
1988	39.23	-76.7159
1989	39.23	-76.7058
1990	39.23	-76.6957
1991	39.23	-76.6855
1992	39.23	-76.6754
1993	39.23	-76.6652
1994	39.23	-76.6551
1995	39.23	-76.6449
1996	39.23	-76.6348
1997	39.23	-76.6246
1998	39.23	-76.6145
1999	39.23	-76.6043
2000	39.23	-76.5942
2001	39.23	-76.5841
2002	39.23	-76.5739
2003	39.23	-76.5638
2004	39.23	-76.5536
2005	39.23	-76.5435
2006	39.23	-76.5333
2007	39.23	-76.5232
2008	39.23	-76.5130
2009	39.23	-76.5029
2010	39.23	-76.4928
2011	39.23	-76.4826
2012	39.23	-76.4725
2013	39.23	-76.4623
2014	39.23	-76.4522
2015	39.23	-76.4420
2016	39.23	-76.4319
2017	39.23	-76.4217
2018	39.23	-76.4116
2019	39.23	-76.4014
2020	39.23	-76.3913
2021	39.23	-76.3812
2022	39.23	-76.3710
2023	39.23	-76.3609
2024	39.23	-76.3507
2025	39.23	-76.3406
2026	39.23	-76.3304
2027	39.23	-76.3203
2028	39.23	-76.3101
2029	39.23	-76.3000
2030	39.24	-77.0000
2031	39.24	-76.9899
2032	39.24	-76.9797
2033	39.24	-76.9696
2034	39.24	-76.9594
2035	39.24	-76.9493
2036	39.24	-76.9391
2037	39.24	-76.9290
2038	39.24	-76.9188
2039	39.24	-76.9087
2040	39.24	-76.8986
2041	39.24	-76.8884
2042	39.24	-76.8783
2043	39.24	-76.8681
2044	39.24	-76.8580
2045	39.24	-76.8478
2046	39.24	-76.8377
2047	39.24	-76.8275
2048	39.24	-76.8174
2049	39.24	-76.8072
2050	39.24	-76.7971
2051	39.24	-76.7870
2052	39.24	-76.7768
2053	39.24	-76.7667
2054	39.24	-76.7565
2055	39.24	-76.7464
2056	39.24	-76.7362
2057	39.24	-76.7261
2058	39.24	-76.7159
2059	39.24	-76.7058
2060	39.24	-76.6957
2061	39.24	-76.6855
2062	39.24	-76.6754
2063	39.24	-76.6652
2064	39.24	-76.6551
2065	39.24	-76.6449
2066	39.24	-76.6348
2067	39.24	-76.6246
2068	39.24	-76.6145
2069	39.24	-76.6043
2070	39.24	-76.5942
2071	39.24	-76.5841
2072	39.24	-76.5739
2073	39.24	-76.5638
2074	39.24	-76.5536
2075	39.24	-76.5435
2076	39.24	-76.5333
2077	39.24	-76.5232
2078	39.24	-76.5130
2079	39.24	-76.5029
2080	39.24	-76.4928
2081	39.24	-76.4826
2082	39.24	-76.4725
2083	39.24	-76.4623
2084	39.24	-76.4522
2085	39.24	-76.4420
2086	39.24	-76.4319
2087	39.24	-76.4217
2088	39.24	-76.4116
2089	39.24	-76.4014
2090	39.24	-76.3913
2091	39.24	-76.3812
2092	39.24	-76.3710
2093	39.24	-76.3609
2094	39.24	-76.3507
2095	39.24	-76.3406
2096	39.24	-76.3304
2097	39.24	-76.3203
2098	39.24	-76.3101
2099	39.24	-76.3000
2100	39.25	-77.0000
2101	39.25	-76.9899
2102	39.25	-76.9797
2103	39.25	-76.9696
2104	39.25	-76.9594
2105	39.25	-76.9493
2106	39.25	-76.9391
2107	39.25	-76.9290
2108	39.25	-76.9188
2109	39.25	-76.9087
2110	39.25	-76.8986
2111	39.25	-76.8884
2112	39.25	-76.8783
2113	39.25	-76.8681
2114	39.25	-76.8580
2115	39.25	-76.8478
2116	39.25	-76.8377
2117	39.25	-76.8275
2118	39.25	-76.8174
2119	39.25	-76.8072
2120	39.25	-76.7971
2121	39.25	-76.7870
2122	39.25	-76.7768
2123	39.25	-76.7667
2124	39.25	-76.7565
2125	39.25	-76.7464
2126	39.25	-76.7362
2127	39.25	-76.7261
2128	39.25	-76.7159
2129	39.25	-76.7058
2130	39.25	-76.6957
2131	39.25	-76.6855
2132	39.25	-76.6754
2133	39.25	-76.6652
2134	39.25	-76.6551
2135	39.25	-76.6449
2136	39.25	-76.6348
2137	39.25	-76.6246
2138	39.25	-76.6145
2139	39.25	-76.6043
2140	39.25	-76.5942
2141	39.25	-76.5841
2142	39.25	-76.5739
2143	39.25	-76.5638
2144	39.25	-76.5536
2145	39.25	-76.5435
2146	39.25	-76.5333
2147	39.25	-76.5232
2148	39.25	-76.5130
2149	39.25	-76.5029
2150	39.25	-76.4928
2151	39.25	-76.4826
2152	39.25	-76.4725
2153	39.25	-76.4623
2154	39.25	-76.4522
2155	39.25	-76.4420
2156	39.25	-76.4319
2157	39.25	-76.4217
2158	39.25	-76.4116
2159	39.25	-76.4014
2160	39.25	-76.3913
2161	39.25	-76.3812
2162	39.25	-76.3710
2163	39.25	-76.3609
2164	39.25	-76.3507
2165	39.25	-76.3406
2166	39.25	-76.3304
2167	39.25	-76.3203
2168	39.25	-76.3101
2169	39.25	-76.3000
2170	39.26	-77.0000
2171	39.26	-76.9899
2172	39.26	-76.9797
2173	39.26	-76.9696
2174	39.26	-76.9594
2175	39.26	-76.9493
2176	39.26	-76.9391
2177	39.26	-76.9290
2178	39.26	-76.9188
2179	39.26	-76.9087
2180	39.26	-76.8986
2181	39.26	-76.8884
2182	39.26	-76.8783
2183	39.26	-76.8681
2184	39.26	-76.8580
2185	39.26	-76.8478
2186	39.26	-76.8377
2187	39.26	-76.8275
2188	39.26	-76.8174
2189	39.26	-76.8072
2190	39.26	-76.7971
2191	39.26	-76.7870
2192	39.26	-76.7768
2193	39.26	-76.7667
2194	39.26	-76.7565
2195	39.26	-76.7464
2196	39.26	-76.7362
2197	39.26	-76.7261
2198	39.26	-76.7159
2199	39.26	-76.7058
2200	39.26	-76.6957
2201	39.26	-76.6855
2202	39.26	-76.6754
2203	39.26	-76.6652
2204	39.26	-76.6551
2205	39.26	-76.6449
2206	39.26	-76.6348
2207	39.26	-76.6246
2208	39.26	-76.6145
2209	39.26	-76.6043
2210	39.26	-76.5942
2211	39.26	-76.5841
2212	39.26	-76.5739
2213	39.26	-76.5638
2214	39.26	-76.5536
2215	39.26	-76.5435
2216	39.26	-76.5333
2217	39.26	-76.5232
2218	39.26	-76.5130
2219	39.26	-76.5029
2220	39.26	-76.4928
2221	39.26	-76.4826
2222	39.26	-76.4725
2223	39.26	-76.4623
2224	39.26	-76.4522
2225	39.26	-76.4420
2226	39.26	-76.4319
2227	39.26	-76.4217
2228	39.26	-76.4116
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4897	39.65	-76.3203
4898	39.65	-76.3101
4899	39.65	-76.3000




Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Dead Run Data Collection Claire Welty · John Lagrosa IV  Discoverable &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Quantifying Urban Groundwater in Environmental Field Observatories: A Missing Link in Understanding How the Built Environment Affects the Hydrologic Cycle 0610009
National Science Foundation Engineering Research Center (ERC) on Mid-Infrared Technologies for Health and the Environment (MIRTHE) 0540832
National Oceanic and Atmospheric Administration Coupled Patterns and Processes in Urban Landscapes NA06OAR4310243
National Science Foundation Baltimore Ecosystem Study Phase III: Adaptive Processes in the Baltimore Socio-Ecological System from the Sanitary to the Sustainable City 1027188
National Science Foundation Collaborative Research: Dynamic Coupling of the Water Cycle and Patterns of Urban Growth 0709659
National Oceanic and Atmospheric Administration Integrating Real-Time Sensor Networks, Data Assimilation, and Predictive Modeling to Assess the Effects of Climate Variability on Water Resources in an Urbanizing Landscape NA07OAR4170518
National Science Foundation Collaborative Research: ITR-(ASE+ECS)-(dms+sim): A Comprehensive Framework for Use of Next Generation Weather Radar (NEXRAD) Data in Hydrometeorology and Hydrology 0427325
National Oceanic and Atmospheric Administration Integrating Climate Change into the Restoration of the Chesapeake Bay and Watershed NA10OAR4310220
National Science Foundation Collaborative Research: ITR-(ASE+ECS)-(dms+sim): A Comprehensive Framework for Use of Next Generation Weather Radar (NEXRAD) Data in Hydrometeorology and Hydrology 0427422
National Science Foundation LTER: Human Settlements as Ecosystems: Metropolitan Baltimore from 1797 - 2100: PHASE II 0423476
National Science Foundation Collaborative Research, WSC-Category 2: Regional Climate Variability and Patterns of Urban Development - Impacts on the Urban Water Cycle and Nutrient Export 1058027

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Claire Welty University of Maryland;Baltimore County Maryland, US
John J. Lagrosa IV Center for Urban Environmental Research and Education at the University of Maryland, Baltimore County Maryland, US
Andrew Miller UMBC MD, US

How to Cite

Baeck, M. L., J. A. Smith (2023). Radar rainfall data for Baltimore, MD, USA, HydroShare, http://www.hydroshare.org/resource/ae004ca9deb442958c32f0457579c4f0

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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