scholarly journals Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks

2020 ◽  
Vol 12 (20) ◽  
pp. 3422
Author(s):  
Yueqian Cao ◽  
Ana P. Barros
Keyword(s):  
Nonlinear Evolution ◽  
Weather Conditions ◽  
High Elevation ◽  
Hysteretic Behavior ◽  
Snow Hydrology ◽  
Passive Remote Sensing ◽  
Brightness Temperatures ◽  
Ensemble Mean ◽  
Relationship Of ◽  
Daily Time

Ensemble predictions of the seasonal snowpack over the Grand Mesa, CO (~300 km2) for the hydrologic year 2016–2017 were conducted using a multilayer snow hydrology model. Snowpack ensembles were driven by gridded atmospheric reanalysis and evaluated against SnowEx’17 measurements. The multi-frequency microwave brightness temperatures and backscattering behavior of the snowpack (separate from soil and vegetation contributions) show that at sub-daily time-scales, the ensemble standard deviation (i.e., weather variability at 3 × 3 km2) is < 3 dB for dry snow, and increases to 8–10 dB at mid-day when there is surficial melt that also explains the wide ensemble range (~20 dB). The linear relationship of the ensemble mean backscatter with SWE (R2 > 0.95) depends on weather conditions (e.g., 5–6 cm/dB/month in January; 2–2.5 cm/dB/month in late February as melt-refreeze cycles modify the microphysics in the top 50 cm of the snowpack). The nonlinear evolution of ensemble snowpack physics translates into seasonal hysteresis in the mesoscale microwave behavior. The backscatter hysteretic offsets between accumulation and melt regimes are robust in the L- and C-bands and collapse for wet, shallow snow at Ku-band. The emissions behave as a limit-cycles with weak sensitivity in the accumulation regime, and hysteretic behavior during melt that is different for deep (winter-spring transition) and shallow snow (spring-summer), and offsets that increase with frequency. These findings suggest potential for multi-frequency active-passive remote-sensing of high-elevation SWE conditional on snowpack regime, particularly suited for data-assimilation using coupled snow hydrology-microwave models extended to include snow-soil and snow-vegetation interactions.

scholarly journals Hubungan Shalat Fardu Berjamaah Dengan Kecerdasan Emosional Pada Jamaah Mesjid Al Jihad Banjarmasin

2017 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Ahmad Jauhari ◽  
Asmaran AS ◽  
Siti Faridah
Keyword(s):  
Emotional Intelligence ◽  
Weather Conditions ◽  
Technical Data ◽  
Rainy Weather ◽  
The Face ◽  
Qualitative Descriptive ◽  
Distance Difference ◽  
Stress Burden ◽  
Heart And Mind ◽  
Relationship Of

Al Jihad  Mosque Banjarmasin is a mosque that is identical with Muhammadiyah, this mosque is followed by many pilgrims and loyal at the time of the implementation of prayers fardu congregation. Jamaah consists of various groups regardless of background, both in terms of age, economy, organization and even the sick pilgrims (post-stroke) are actively involved in congregation. Active Jamaat prayers in congregation do not only come from residents around the mosque complex, but also many pilgrims who come from outside the mosque complex, even the distance difference between their residence with the mosque a few kilometers. In heavy rainy weather conditions, they still enthusiastically follow the prayers in congregation fardu mosque. In addition, there are things that are felt by pilgrims such as comfort, tranquility of heart and mind, emotional stability, silaturrahim which all is related to emotional intelligence.In this study, the main problem is how is the relationship of prayer in congregation with emotional intelligence in the congregation of Al Jihad Mosque Banjarmasin ?. The method used is quantitative and qualitative descriptive method with methodological arrangement such as approach and type of research, research location, population and sample, data and data source, procedure and data collection, quantitative and qualitative technical data analysis.The result of the study found that there is a correlation between salat fardu congregation with emotional intelligence, this is proved by the data from questionnaires from 30 pilgrims (respondents) that is: able to control the impulse of worldly lusts with the highest opinion is 60% said yes and 40% stated sometimes .Motivating yourself with the highest opinion is 90% states yes and 10% states sometimes. Able to survive in the face of trials with the highest opinion is 86.67 states yes and 13, 33 states sometimes. No exaggeration with the highest opinion is 90% states yes and 10% states sometimes. Being able to set the mood with the highest opinion is 86.33% and 13.33 states sometimes. Keeping the stress burden does not cripple the thinking ability with the highest opinion is 90% states yes and 10% states sometimes. The ability to empathize and pray with the highest opinion is 90% say yes and 10% say sometimes.

scholarly journals The Role of Agrotechnical Factors in Shaping the Protein Yield of Maize (Zea mays L.)

2020 ◽  
Vol 12 (17) ◽  
pp. 6833
Author(s):  
Piotr Szulc ◽  
Katarzyna Ambroży-Deręgowska ◽  
Iwona Mejza ◽  
Joanna Kobus-Cisowska ◽  
Marta Ligaj
Keyword(s):  
Field Experiments ◽  
Atmospheric Precipitation ◽  
Weather Conditions ◽  
Protein Yield ◽  
Stay Green ◽  
Growing Seasons ◽  
Two Component ◽  
Maize Protein ◽  
Relationship Of ◽  
Np Fertilizer

The subject of the work was the evaluation of maize protein yield conditioned by various agrotechnical factors. The test results are derived from two different field experiments covering a total of seven years of observation. Protein yield was significantly dependent on changing weather conditions in the growing seasons. Protein yield was significantly lower in the dry and hot years. The sum of precipitation for the month of May was positively correlated with maize protein yield. However, there was no correlation between the average air temperature and the amount of protein yield. The sum of atmospheric precipitation for the entire growing season (IV–X) shaped maize protein yield in over 96%. A non-linear relationship of the 2nd degree was determined between these traits. Sowing maize into the soil cultivated traditionally (autumn tillage), “stay-green” type cultivars and row fertilization positively influenced maize protein yield. Initial fertilization (regardless of depth) with two-component NP fertilizer, in relation to broadcast fertilization, significantly increased maize protein yield from 11.4% to 18%, respectively. The type of nitrogen fertilizer did not differentiate the value of this trait. Pre-sowing nitrogen application was more effective compared to the top dressing, and significantly increased protein yield. Row fertilization with two-component NP fertilizer clearly affected the content protein in grain. The interdependence of genetic and agronomic progress is an important factor shaping the potential of maize protein yield and cannot be attributed to either breeding (cultivar) or agronomy.

scholarly journals The relationship of meteorological conditions to the epidemic activity of respiratory syncytial virus

2007 ◽  
Vol 135 (7) ◽  
pp. 1077-1090 ◽  
Author(s):  
S. YUSUF ◽  
G. PIEDIMONTE ◽  
A. AUAIS ◽  
G. DEMMLER ◽  
S. KRISHNAN ◽  
...  
Keyword(s):  
Respiratory Syncytial Virus ◽  
Geographic Location ◽  
Absolute Humidity ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Uvb Radiation ◽  
Ambient Temperatures ◽  
Rsv Infection ◽  
Syncytial Virus ◽  
Relationship Of

SUMMARYOur aim was to obtain knowledge of how meteorological conditions affect community epidemics of respiratory syncytial virus (RSV) infection. To this end we recorded year-round RSV activity in nine cities that differ markedly in geographic location and climate. We correlated local weather conditions with weekly or monthly RSV cases. We reviewed similar reports from other areas varying in climate. Weekly RSV activity was related to temperature in a bimodal fashion, with peaks of activity at temperatures above 24–30°C and at 2–6°C. RSV activity was also greatest at 45–65% relative humidity. RSV activity was inversely related to UVB radiance at three sites where this could be tested. At sites with persistently warm temperatures and high humidity, RSV activity was continuous throughout the year, peaking in summer and early autumn. In temperate climates, RSV activity was maximal during winter, correlating with lower temperatures. In areas where temperatures remained colder throughout the year, RSV activity again became nearly continuous. Community activity of RSV is substantial when both ambient temperatures and absolute humidity are very high, perhaps reflecting greater stability of RSV in aerosols. Transmission of RSV in cooler climates is inversely related to temperature possibly as a result of increased stability of the virus in secretions in the colder environment. UVB radiation may inactivate virus in the environment, or influence susceptibility to RSV by altering host resistance.

scholarly journals Comparison of Sea-ice Type Identification Between Airborne Dual Frequency Passive Microwave Radiometry and Standard Laser/Infrared Techniques

1975 ◽  
Vol 15 (73) ◽  
pp. 225-239
Author(s):  
S. G. Tooma ◽  
R. A. Mennella ◽  
J. P. Hollinger ◽  
R. D. Ketchum
Keyword(s):  
Sea Ice ◽  
Ground Truth ◽  
Open Water ◽  
Weather Conditions ◽  
Passive Microwave ◽  
Single Frequency ◽  
Naval Research ◽  
First Year ◽  
Dual Frequency ◽  
Brightness Temperatures

AbstractDuring December 1973, the Naval Oceanographie Offirc (NAVOCKANO) and the Naval Research Laboratory (NRL) conducted a joint remote-sensing experiment over the sea-ice fields off Scoresby Sound on the east coast of Greenland using NAVOCEANO’s RP3-A Birdseye aircraft, laser profiler, and infrared scanner, and NRL’s 19.34 and 31.0 GHz nadir-looking radiometers. The objectives of this mission were: (1) to develop skills for interpreting sea-ice passive microwave data. (2) to expand, if possible, the two-category capability (multi-year ice and first-year ice) of passive microwave sensors over sea ice, (3) to compare two frequencies (19 and 31 GHz) to determine which may be more useful in a scanning radiometer now under development at NRL, and (4) to determine the value of multi-frequency as compared to single-frequency study of sea ice.Since, because of darkness and remoteness, no photography or in situ ground truth were possible for this mission, it was necessary to rely on the interpretations of the laser and infrared (IR) data to evaluate the performance of the microwave radiometers. Fortunately, excellent laser and IR data were collected, and a confident description of the ice overflown was possible.Five ice conditions: (1) open water/new ice, (2) smooth first-year ice, (3) ridged first-year ice, (4) multi-year ice, and (5) a higher brightness temperature form of multi-year ice interpreted as second-year ice were identifiable, regardless of weather conditions, by comparing the average of the two microwave brightness temperatures at the two frequencies with their difference.

Comparison of Sea-ice Type Identification Between Airborne Dual Frequency Passive Microwave Radiometry and Standard Laser/Infrared Techniques

1975 ◽  
Vol 15 (73) ◽  
pp. 225-239 ◽  
Author(s):  
S. G. Tooma ◽  
R. A. Mennella ◽  
J. P. Hollinger ◽  
R. D. Ketchum
Keyword(s):  
Sea Ice ◽  
Ground Truth ◽  
Open Water ◽  
Weather Conditions ◽  
Passive Microwave ◽  
Single Frequency ◽  
Naval Research ◽  
First Year ◽  
Dual Frequency ◽  
Brightness Temperatures

Abstract During December 1973, the Naval Oceanographie Offirc (NAVOCKANO) and the Naval Research Laboratory (NRL) conducted a joint remote-sensing experiment over the sea-ice fields off Scoresby Sound on the east coast of Greenland using NAVOCEANO’s RP3-A Birdseye aircraft, laser profiler, and infrared scanner, and NRL’s 19.34 and 31.0 GHz nadir-looking radiometers. The objectives of this mission were: (1) to develop skills for interpreting sea-ice passive microwave data. (2) to expand, if possible, the two-category capability (multi-year ice and first-year ice) of passive microwave sensors over sea ice, (3) to compare two frequencies (19 and 31 GHz) to determine which may be more useful in a scanning radiometer now under development at NRL, and (4) to determine the value of multi-frequency as compared to single-frequency study of sea ice. Since, because of darkness and remoteness, no photography or in situ ground truth were possible for this mission, it was necessary to rely on the interpretations of the laser and infrared (IR) data to evaluate the performance of the microwave radiometers. Fortunately, excellent laser and IR data were collected, and a confident description of the ice overflown was possible. Five ice conditions: (1) open water/new ice, (2) smooth first-year ice, (3) ridged first-year ice, (4) multi-year ice, and (5) a higher brightness temperature form of multi-year ice interpreted as second-year ice were identifiable, regardless of weather conditions, by comparing the average of the two microwave brightness temperatures at the two frequencies with their difference.

scholarly journals The relationship of agroclimatic factors and the yield of potato varieties in the conditions of the near Moscow region

2021 ◽  
Vol 2 (44) ◽  
pp. 21-21
Author(s):  
Alexander Saakian ◽  
◽  
Keyword(s):  
Starch Content ◽  
Organic Fertilizer ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Hydrothermal Coefficient ◽  
Potato Varieties ◽  
Yield And Quality ◽  
Relationship Of ◽  
The Relationship

In 2005-2015. studied the effect of liquid organic fertilizer BIOOD-1 as foliar feeding on the yield and quality of various potato varieties in changing meteorological conditions. According to the results of the experiments, it was established that the most stable yields under various weather conditions were shown by the potatoes of the mid-season variety Bryansk delicacy. The low starch content of varieties Nevsky, Udacha was noted in years of high humidity, but with a lack of moisture, the starch content of these varieties increased in the background variant and in the experiment with organic fertilization. Keywords: CLIMATIC CONDITIONS, HYDROTHERMAL COEFFICIENT, MEAN SENIOR PRECIPITATION, POTATO, YIELD, STARCH, HUMIC FERTILIZERS

scholarly journals Influence of altitude on ozone levels and variability in the lower troposphere: a ground-based study for western Europe over the period 2001–2004

2007 ◽  
Vol 7 (1) ◽  
pp. 1327-1356 ◽  
Author(s):  
A. Chevalier ◽  
F. Gheusi ◽  
R. Delmas ◽  
C. Ordó\\ nez ◽  
C. Sarrat ◽  
...  
Keyword(s):  
Western Europe ◽  
Lower Troposphere ◽  
Monitoring And Evaluation ◽  
Weather Conditions ◽  
High Elevation ◽  
Global Scale ◽  
Observation System ◽  
Mountainous Areas ◽  
Mixing Ratios ◽  
Spring Maximum

Abstract. The PAES (French acronym for synoptic scale atmospheric pollution) network focuses on the chemical composition (ozone, CO, NOx/y and aerosols) of the lower troposphere (0–3000 m). Its high-altitude surface stations located in different mountainous areas in France complete the low-altitude rural MERA stations (the French contribution to the european program EMEP, European Monitoring and Evaluation Program). They are representative of pollution at the scale of the French territory because they are away from any major source of pollution. This study deals with ozone observations between 2001 and 2004 at 11 stations from PAES and MERA, in addition to 16 elevated stations located in mountainous areas of Switzerland, Germany, Austria, Italy and Spain. The set of stations covers a range of altitudes between 115 and 3550 m. The comparison between recent ozone mixing ratios with those of the last decade found in the literature for two high-elevation sites (Pic du Midi, 2877 m and Jungfraujoch, 3580 m) leads to a trend that has slowed down compared to old trends but remains positive. This could be attribuable to the reduction of ozone precursors at European scale, that however do not compensate an ozone increase at the global scale. Averaged levels of ozone increase with elevation in good agreement with data provided by the airborne observation system MOZAIC (Measurement of OZone and water vapour by Airbus In-service airCraft), showing a highly stratified ozone field in the lower troposphere, with a transition at about 1000 m asl between a sharp gradient (30 ppb/km) below but a gentler gradient (3 ppb/km) above. Ozone variability also reveals a clear transition between boundary-layer and free-tropospheric regimes at the same altitude. Below, diurnal photochemistry accounts for about the third of the variability in summer, but less than 20% above – and at all levels in winter – where ozone variability is mostly due to day-to-day changes (linked to weather conditions or synoptic transport). Monthly-mean ozone mixing-ratios show at all levels a minimum in winter and the classical summer broad maximum in spring and summer – which is actually the superposition of the tropospheric spring maximum (April–May) and regional pollution episodes linked to persistent anticyclonic conditions that may occur from June to September. To complement this classical result it is shown that summer maxima are associated with considerably more variability than the spring maximum. This ensemble of findings support the relevance of mountain station networks such as PAES for the long-term observation of free-tropospheric ozone over Europe.

scholarly journals Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions

2019 ◽  
Vol 16 (2) ◽  
pp. 186 ◽  
Author(s):  
Weiying Cai ◽  
Hui Di ◽  
Xingpeng Liu
Keyword(s):  
Weather Conditions ◽  
Copula Function ◽  
Tourism Industry ◽  
Suitability Analysis ◽  
Copula Functions ◽  
Winter Tourism ◽  
Frank Copula ◽  
Tourism Resources ◽  
Tourism Destinations ◽  
Relationship Of

Climate and weather are important factors that determine winter tourism destinations and snow resources and temperature affect the income of the winter tourism industry. Against the background of climate change, abnormal fluctuations in climate elements bring a series of challenges for winter tourism and cause potential losses to the tourism industry. To effectively assess and plan winter tourism destinations, this study establishes the snow abundance and meteorological suitability indices from snow resource and weather conditions to express winter tourism resources, respectively. The coupling relationship of the two indices was used to analyze the spatial suitability of winter tourism destinations based on the copula function. By case analysis, it was found that the Frank copula one is the best fitting function for winter tourism suitability analysis. The Yushu–Jiutai–Yitong–Dongliao line is the boundary of spatial suitability in the study area. The eastern areas of the boundary have great potential for winter tourism and could strive to develop ice-snow projects, whereas the western regions are relatively weak. This study has guiding significance for winter tourism destination development and resource spatial layout.

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