The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. The MODIS/Aqua LST/E Monthly L3 Global 0.05Deg CMG (Short name: MYD11C3) is configured on a 0.05º latitude/longitude climate modeling grid (CMG).
The MODIS/Aqua version-041 (V41) products use a modified version-4 ... (V4) LST algorithm and version-5 (V5) data inputs. The V41 products primarily address underestimation problems in the V5 Climate Modeling Grid (CMG) products. Recent validation activities reveal that the V5 CMG products underestimate LSTs up to 6K especially in desert and semi-arid regions. The production date for this collection starts with MODIS/Aqua data acquisition from 2007-001. This beginning date is driven by the availability of the MODIS V5 data inputs (level-1B radiance data, geolocation data, cloud mask, atmospheric profiles, and land and snow cover data).
The MODIS/Aqua V41 LST/E Monthly L3 Global CMG product (Short name: MYD11C3) is a monthly composited average, derived from the MYD11C1 daily global product, and stored as clear-sky LST values during a month’s period in a 0.05º (5600 meters) geographic CMG. MYD11C3, therefore, inherits all the structural features of its MYD11C1 parent except for the temporal configuration. Please refer to the MYD11C1 product documentation for all algorithm-related details.
The V41 MYD11C3 product comprises the following Science Data Set (SDS) layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, clear sky coverages, and emissivities for Bands 20, 22, 23, 29, 31, and 32.
The V41 Aqua/MODIS LST/E products, including MYD11C3, are validated to Stage-2 with well-defined uncertainties over a range of representative conditions. Further details regarding MODIS land product validation for the LST/E products are available from the MODIS land team validation site.
The V41 MYD11C3 product’s acquisition range started January 1, 2007 (2007-001), and will continue until the V6 reprocessing completes in 2011. The V41 LST products from 2007-001 will remain consistent with similar products from V4, and hence are amenable to combine them in a time series analysis. Users should exercise caution, and not mix the V4.x (i.e., V4 and V41) and V5 LST products in their analysis.
Data Set Characteristics Area Global Image Dimensions 3600 x 7200 (Rows/Columns) Map Projection Latitude/Longitude Grid File Size (Average) 593 MB Data Format HDF-EOS Number of Science Data Sets (SDS) 16
The Land Processes Distributed Active Archive Center (LP DAAC) home page contains information about the LP DAAC, its products, and its services. The Web site also provides access to NASA's next generation Earth Science discovery tool (Reverb), which is a Web-based search, browse and order interface for a variety of EOS data sets.
ATTRIBUTE ACCURACY REPORT: The animal counts were done according to standard methods: an aliquot (1:2, 1:4, 1:8, 1:16, 1:32) of the samples was counted after fractionation with a Folsom splitter. The error in splitting samples was not assessed. A minimum of 30 individuals of each species and stage was counted in each sample. With regard catchability of the zooplankton, this study followed the ... consensus that a mesh size of 75% of the width of the smallest animal to be sampled is required for quantitative sampling (Gallienne and Robins 2001, J Plankton Res 23:1421–1432). http://plankt.oxfordjournals.org/cgi/content/abstract/23/12/1421 That means the width not the length of an individual is important.
LOGICAL CONSISTENCY REPORT: The same procedure was used at all sites and for all species; findings should be consistent.
COMPLETENESS REPORT: The following species were not in ITIS:
Likely, these are newly described and just not in ITIS, yet.
HORIZONTAL POSITIONAL ACCURACY REPORT: nearest second
These data present a snapshot in time, but are representative for the location and depth where collected. Identification is done where applicable and known; different taxonomies might result into different species names.
These data cannot be redistributed to third parties.
Although these data have been processed successfully on a computer system at the University of Alaska, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This ... disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a University of Alaska server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The University of Alaska shall not be held liable for improper or incorrect use of the data described and/or contained herein.