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396 results for “McMurdo”
McMurdo Dry Valleys LTER: Phytoplankton water column profiles in Lake Bonney, Antarctica from 2004 to 2015
Lake Bonney (McMurdo Dry Valleys, east Antarctica) represents a year-round refugia for life adapted to extreme conditions. Lake level has risen by more than 3 m since 2004, but impacts of rapid lake level rise on phytoplankton community structure is also poorly understood. From 2004 to 2015, in concert with the summer limnological samplings, an in situ submersible spectrofluorometer (bbe FluoroProbe) was used to profile phytoplankton throughout the water columns of east and west lobes Lake Bonney to quantify the vertical structure of four functional algal groups (green algae, brown/mixed algae, cryptophytes, cyanobacteria). Our findings showed that phytoplankton communities were differentially impacted by physical and chemical factors over long-term vs. seasonal time scales. Following a summer of rapid lake level rise (2010-11), an increase in depth integrated chlorophyll a (chl-a) occurred in Lake Bonney caused by stimulation of photoautotrophic green algae. Collectively our data reveal that phytoplankton groups possessing variable trophic abilities are differentially competitive during seasonal and long-term time scales owing to periods of higher nutrients (photoautotrophs) vs. light/energy limitation (mixotrophs).
McMurdo Dry Valleys Huey Creek streamflow routing and subsurface water flow, 2006
Huey Creek is a meltwater stream that flows into the north end of Lake Fryxell in Taylor Valley.  We conducted a comparative study to determine flow balances, flow routing in Huey Creek in 2006. The hypothesis is that truncated hydrographs on Huey Creek (and other streams) are related to large subsurface storage potential that fills/empties over the daily flood pulse. The goal of the simulation and experimental data comparison described here  is to use a coupled groundwater / surface flow model to test this hypothesis.  Representative figure: Simulated and observed discharges for (A) the full model; B) kinematic wave routing and subsurface flow, but no anabranching; C) kinematic wave routing, but no subsurface flow, and no anabranching. D) displays the difference between observations and the upstream boundary condition for each simulation.
McMurdo Dry Valleys Streamflow and hyporheic thermal regimes influence on hyporheic storage and exchange at Von Guerard Stream, 2006
We describe the modeling data created and used to study the influence of stream and hyporheic thermal regimes on hyporheic storage and exchange, as well as the field data used in the study. Models and methodologies are also described, along with the physical details of the data. In streams, such as those in the McMurdo Dry Valleys, that experience large daily fluctuations in temperature, associated changes in water density and dynamic viscosity could affect hyporheic characteristics.  Figure: Longitudinal view of stream and hyporheic temperatures at each of the 11 temperature proble locations at two different times. One time, 8:30, was in the middle of the cool morning experiment, the second time, 15:00 was in the middle of the warm afternoon experiment.  Open circles represent stream temperatures. Filled diamonds, squares, and triangles represent temperatures at 5, 10, and 20 cm depths below the streambed surface, respectively
McMurdo Dry Valleys Glacier melt modeling: Long Wave Radiation 1996-2011
This is the data and metatada for modeled Long Wave Radiation - part of six modeled parameters that comprise the Taylor Valley Galcier Melt modeling Data contained and described in this document correspond to the physically-based surface energy balance model for the glaciers of Taylor Valley developed by the dataset owners. The spatial variability in ablation (ice melt and sublimation), runoff, and climate sensitivity of the glaciers was modeled using 16 years of meteorological and surface mass balance (the net mass gain or loss of ice on the surface of the glacier) observations collected in Taylor Valley (see figure). Â An unusual aspect of the model is the inclusion of transmission of solar radiation into the ice and subsequent drainage of some subsurface melt . Â Melt model was applied to the ablation zones of the glaciers of Taylor Valley, identified by colored areas. Mass balance stakes, meteorological stations, and stream gages shown for reference. These output files are part of a multi set comprising 5 outputs and one input dataset. Â The input dataset package is at http://mcmlter.org/content/glacier-melt-modeling-inputs-and-example-m-fi...
McMurdo Dry Valleys Glacier melt modeling: Short Wave Radiation 1996-2011
This is the data and metatada for modeled Long Wave Radiation - part of six modeled parameters that comprise the Taylor Valley Galcier Melt modeling Data contained and described in this document correspond to the physically-based surface energy balance model for the glaciers of Taylor Valley developed by the dataset owners. The spatial variability in ablation (ice melt and sublimation), runoff, and climate sensitivity of the glaciers was modeled using 16 years of meteorological and surface mass balance (the net mass gain or loss of ice on the surface of the glacier) observations collected in Taylor Valley (see figure).  An unusual aspect of the model is the inclusion of transmission of solar radiation into the ice and subsequent drainage of some subsurface melt .  Melt model was applied to the ablation zones of the glaciers of Taylor Valley, identified by colored areas. Mass balance stakes, meteorological stations, and stream gages shown for reference. This dataset package is part of a 6-pack multi-set, which you can find at http://mcmlter.org The input files, parameters and examples are found in this package: http://mcmlter.org/content/glacier-melt-modeling-inputs-and-example-m-fi...Â
McMurdo Dry Valleys Glacier melt modeling: Relative Humidity 1996-2011
This is the data and metatada for modeled Relative Humidity - part of six modeled parameters that comprise the Taylor Valley Galcier Melt modeling Data contained and described in this document correspond to the physically-based surface energy balance model for the glaciers of Taylor Valley developed by the dataset owners. The spatial variability in ablation (ice melt and sublimation), runoff, and climate sensitivity of the glaciers was modeled using 16 years of meteorological and surface mass balance (the net mass gain or loss of ice on the surface of the glacier) observations collected in Taylor Valley (see figure).  An unusual aspect of the model is the inclusion of transmission of solar radiation into the ice and subsequent drainage of some subsurface melt .  Melt model was applied to the ablation zones of the glaciers of Taylor Valley, identified by colored areas. Mass balance stakes, meteorological stations, and stream gages shown for reference. This dataset package is part of a 6-pack multi-set, which you can find at http://mcmlter.org The input files, parameters and examples are found in this package: http://mcmlter.org/content/glacier-melt-modeling-inputs-and-example-m-fi... Â
McMurdo Dry Valleys Glacier melt modeling: Wind Direction 1996-2011
This is the data and metatada for modeled Wind Direction - part of six modeled parameters that comprise the Taylor Valley Galcier Melt modeling Data contained and described in this document correspond to the physically-based surface energy balance model for the glaciers of Taylor Valley developed by the dataset owners. The spatial variability in ablation (ice melt and sublimation), runoff, and climate sensitivity of the glaciers was modeled using 16 years of meteorological and surface mass balance (the net mass gain or loss of ice on the surface of the glacier) observations collected in Taylor Valley (see figure).  An unusual aspect of the model is the inclusion of transmission of solar radiation into the ice and subsequent drainage of some subsurface melt .  Melt model was applied to the ablation zones of the glaciers of Taylor Valley, identified by colored areas. Mass balance stakes, meteorological stations, and stream gages shown for reference. This dataset package is part of a 6-pack multi-set, which you can find at http://mcmlter.org The input files, parameters and examples are found in this package: http://mcmlter.org/content/glacier-melt-modeling-inputs-and-example-m-file-reader
McMurdo Dry Valleys Adams Stream Gage Measurements
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. These tables contain data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the hydrology data set for the McMurdo Dry Valley's Adams stream measurements in the 1990-91 season. The Adams Stream data from 1990-91 was generated by the New Zealand ARP. Beginning January 2012, the MCMLTER established a new control downstream of the NZARP control. To date, we have not had enough field data to justify a rating curve to offer the 2012 onwards quality controlled hydrological data, but we expect to be able to offer these data by the 2016-17 season
McMurdo Dry Valleys Microbial mat biomass, isotopes, and nutrient ratios sampled over a longitudinal gradient of two McMurdo Dry Valley streams
We performed a field survey to assess changes in biomass, nutrient ratios, and isotopic signatures of three different microbial mat types in two glacial meltwater streams in the McMurdo Dry Valleys, Antarctica. Samples were taken in January 2013 from pre-existing transects over Von Guerard Stream and the Relict Channel, and stretched from near the Von Guerard Glacier terminus to the stream outlets at Lake Fryxell. In addition to the three microbial mat types, which included Nostoc (black), Chlorophyte (green), and Oscillatorean (orange) mats, particulate organic matter (POM) was collected from Von Guerard Stream in January 2008 over a full diel cycle in order to determine the origin of material in transport by comparing its elemental and isotopic characteristics with stream mats.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1988-12-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1988-12-12 (19:58:37.3570810Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161988347XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-02T22:37:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1988-12-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1988-12-28 (19:58:48.9010940Z) by Landsat 4, row 116, path 55. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161988363XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-01-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-01-29 (19:59:20.8290310Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989029XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-02-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-02-14 (19:59:35.1740130Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989045XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-03-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-03-18 (19:59:29.0770880Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989077XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-30T16:59:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-11-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-11-29 (19:59:46.2890690Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989333XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:58Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-12-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-12-31 (19:59:30.0940250Z) by Landsat 4, row 116, path 55. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989365XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1990-02-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1990-02-17 (19:58:56.6750380Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161990048XXX00, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-29T18:54:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1992-12-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1992-12-23 (19:38:55.0420000Z) by Landsat 4, row 116, path 55. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161992358XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-28T03:32:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1992-12-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1992-12-30 (19:45:19.3990880Z) by Landsat 4, row 116, path 56. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40561161992365AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-28T03:32:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1993-01-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1993-01-15 (19:45:45.8210630Z) by Landsat 4, row 116, path 56. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40561161993015XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:46:11Z.
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