scholarly journals The OH (3-1) nightglow volume emission rate retrieved from OSIRIS measurements: 2001 to 2015

2021 ◽  
Author(s):  
Anqi Li ◽  
Chris Z. Roth ◽  
Adam E. Bourassa ◽  
Douglas A. Degenstein ◽  
Kristell Pérot ◽  
...  
Keyword(s):  
Emission Rate ◽  
Polar Regions ◽  
Data Set ◽  
Infrared Imager ◽  
Data Products ◽  
Long Time ◽  
Volume Emission ◽  
Derived Data ◽  
Term Data

Abstract. The OH airglow has been used to investigate the chemistry and dynamics of the mesosphere and the lower thermo-sphere (MLT) for a long time. The infrared imager (IRI) aboard the Odin satellite has been recording the nighttime 1.53 μm OH (3-1) emission for more than 15 years (2001–2015) and we have recently processed the complete data set. The newly derived data products contain the volume emission rate profiles and the Gaussian approximated layer height, thickness, peak intensity and zenith intensity, and their corresponding error estimates. In this study, we describe the retrieval steps of these data products. We also provide data screening recommendations. The monthly zonal averages depict the well known annual oscillation and semi-annual oscillation signatures, which demonstrate the fidelity of the data set (https://doi.org/10.5281/zenodo.4746506, Li et al. (2021)). The uniqueness of this Odin-IRI OH long-term data set makes it valuable for studying various topics, for instance, the sudden stratospheric warming events in the polar regions and solar cycle influences on the MLT.

scholarly journals The OH (3-1) nightglow volume emission rate retrieved from OSIRIS measurements: 2001 to 2015

2021 ◽  
Vol 13 (11) ◽  
pp. 5115-5126
Author(s):  
Anqi Li ◽  
Chris Z. Roth ◽  
Adam E. Bourassa ◽  
Douglas A. Degenstein ◽  
Kristell Pérot ◽  
...  
Keyword(s):  
Emission Rate ◽  
Lower Thermosphere ◽  
Polar Regions ◽  
Night Time ◽  
Data Set ◽  
Infrared Imager ◽  
Data Products ◽  
Long Time ◽  
Volume Emission

Abstract. The OH airglow has been used to investigate the chemistry and dynamics of the mesosphere and the lower thermosphere (MLT) for a long time. The infrared imager (IRI) aboard the Odin satellite has been recording the night-time 1.53 µm OH (3-1) emission for more than 15 years (2001–2015), and we have recently processed the complete data set. The newly derived data products contain the volume emission rate profiles and the Gaussian-approximated layer height, thickness, peak intensity and zenith intensity, and their corresponding error estimates. In this study, we describe the retrieval steps for these data products. We also provide data screening recommendations. The monthly zonal averages depict the well-known annual oscillation and semi-annual oscillation signatures, which demonstrate the fidelity of the data set (https://doi.org/10.5281/zenodo.4746506, Li et al., 2021). The uniqueness of this Odin IRI OH long-term data set makes it valuable for studying various topics, for instance, the sudden stratospheric warming events in the polar regions and solar cycle influences on the MLT.

scholarly journals Insights Into Fire-based Soil Temperature and Moisture Changes From a Long-term Data Set in Alaska

2021 ◽  
Author(s):  
Kristen Manies ◽  
Jennifer Harden ◽  
William Cable ◽  
Jamie Hollingsworth
Keyword(s):  
Soil Temperature ◽  
Data Set ◽  
Term Data ◽  
Soil Temperature And Moisture

Trophic Level Relationships in Pelagic Food Webs: Comparisons Derived from Long-Term Data Sets for Oneida Lake, New York (USA), and Lake St. George, Ontario (Canada)

1992 ◽  
Vol 49 (8) ◽  
pp. 1588-1596 ◽  
Author(s):  
Donald J. McQueen ◽  
Edward L. Mills ◽  
John L. Forney ◽  
Mark R. S. Johannes ◽  
John R. Post
Keyword(s):  
New York ◽  
Total Phosphorus ◽  
Trophic Level ◽  
Data Sets ◽  
Phytoplankton Abundance ◽  
Data Set ◽  
Oneida Lake ◽  
Pelagic Food Webs ◽  
Term Data

We used standardized methods to analyze a 14-yr data set from Oneida Lake and a 10-yr data set from Lake St. George. We estimated mean summer concentrations of several trophic level indicators including piscivores, planktivores, zooplankton, phytoplankton, and total phosphorus, and we then investigated the relationships between these variables. Both data sets yielded similar long-term and short-term trends. The long-term mean annual trends were that (1) the relationships between concentrations of planktivores and zooplankton (including daphnids) were always negative, (2) the relationships between concentrations of zooplankton and various measures of phytoplankton abundance were unpredictable and never statistically significant, and (3) the relationships between total phosphorus and various measures of phytoplankton abundance were always positive. Over short periods, the data from both lakes showed periodic, strong top-down relationships between concentrations of zooplankton (especially large Daphnia) and chlorophyll a, but these events were unpredictable and were seldom related to piscivore abundance.

A long-term data set for hydrologic modeling in a snow-dominated mountain catchment

2011 ◽  
Vol 47 (7) ◽  
Author(s):  
Michele L. Reba ◽  
Danny Marks ◽  
Mark Seyfried ◽  
Adam Winstral ◽  
Mukesh Kumar ◽  
...  
Keyword(s):  
Hydrologic Modeling ◽  
Data Set ◽  
Mountain Catchment ◽  
Term Data

scholarly journals Long-term trends of air pollutant concentrations in Poland

2019 ◽  
Vol 116 ◽  
pp. 00027
Author(s):  
Szymon Hoffman
Keyword(s):  
Least Squares Method ◽  
Monitoring Network ◽  
Air Pollutant ◽  
Pollutant Concentrations ◽  
Hourly Data ◽  
Long Time ◽  
Long Term Trends ◽  
Air Pollutant Concentrations ◽  
Term Data

The assessment of changes in air pollution quality for 4 selected sites in Southern and Central Poland was presented in this paper. The evaluation was based on the sets of long-term data, recorded by the state air monitoring network. Concentrations of O3, PM10, SO2, NOx, and CO, were considered. The basis for the calculations were 12-year time series of hourly concentrations. Using the hourly data, the monthly averages were calculated to illustrate seasonal changes of pollutant concentrations. Linear trends were adjusted to the concentration courses with the least squares method. Long-time trends were calculated for each pollutant separately. Based on the analysis of the trend lines slopes, risks those may arise in the future were identified.

Long-term variation of OH peak emission altitude and volume emission rate over Indian low latitudes

2016 ◽  
Vol 138-139 ◽  
pp. 161-168 ◽  
Author(s):  
M. Sivakandan ◽  
T.K. Ramkumar ◽  
A. Taori ◽  
Venkateshwara Rao ◽  
K. Niranjan
Keyword(s):  
Emission Rate ◽  
Low Latitudes ◽  
Term Variation ◽  
Volume Emission ◽  
Peak Emission

scholarly journals Snow and ice applications of AVHRR in polar regions: report of a workshop held in Boulder, Colorado, 20 May 1992

1993 ◽  
Vol 17 ◽  
pp. 1-16 ◽  
Author(s):  
K. Steffen ◽  
R. Bindschadler ◽  
G. Casassa ◽  
J. Comiso ◽  
D. Eppler ◽  
...  
Keyword(s):  
Sea Ice ◽  
Satellite Data ◽  
Quality Data ◽  
Polar Regions ◽  
Data Set ◽  
Ice Surface ◽  
The Status ◽  
Ice Surface Temperature ◽  
Snow And Ice

The third symposium on Remote Sensing of Snow and Ice, organized by the International Glaciological Society, took place in Boulder, Colorado, 17–22 May 1992. As part of this meeting a total of 21 papers was presented on snow and ice applications of Advanced Very High Resolution Radiometer (AVHRR) satellite data in polar regions. Also during this meeting a NASA sponsored Workshop was held to review the status of polar surface measurements from AVHRR. In the following we have summarized the ideas and recommendations from the workshop, and the conclusions of relevant papers given during the regular symposium sessions. The seven topics discussed include cloud masking, ice surface temperature, narrow-band albedo, ice concentration, lead statistics, sea-ice motion and ice-sheet studies with specifics on applications, algorithms and accuracy, following recommendations for future improvements. In general, we can affirm the strong potential of AVHRR for studying sea ice and snow covered surfaces, and we highly recommend this satellite data set for long-term monitoring of polar process studies. However, progress is needed to reduce the uncertainty of the retrieved parameters for all of the above mentioned topics to make this data set useful for direct climate applications such as heat balance studies and others. Further, the acquisition and processing of polar AVHRR data must become better coordinated between receiving stations, data centers and funding agencies to guarantee a long-term commitment to the collection and distribution of high quality data.

scholarly journals Mast seeding under increasing drought: results from a long‐term data set and from a rainfall exclusion experiment

Ecology ◽  
2010 ◽  
Vol 91 (10) ◽  
pp. 3057-3068 ◽  
Author(s):  
I. M. Pérez-Ramos ◽  
J. M. Ourcival ◽  
J. M. Limousin ◽  
S. Rambal
Keyword(s):  
Mast Seeding ◽  
Data Set ◽  
Exclusion Experiment ◽  
Term Data
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