scholarly journals GeoClimate: a Geospatial processing toolbox for environmental and climate studies

2021 ◽  
Vol 6 (65) ◽  
pp. 3541
Author(s):  
Erwan Bocher ◽  
Jérémy Bernard ◽  
Elisabeth Wiederhold ◽  
François Leconte ◽  
Gwendall Petit ◽  
...  
Keyword(s):  
Climate Studies

scholarly journals A New TanSat XCO2 Global Product towards Climate Studies

2020 ◽  
Vol 38 (1) ◽  
pp. 8-11
Author(s):  
Dongxu Yang ◽  
Yi Liu ◽  
Hartmut Boesch ◽  
Lu Yao ◽  
Antonio Di Noia ◽  
...  
Keyword(s):  
Climate Studies

scholarly journals Diurnal variations in the UV albedo of arctic snow

2008 ◽  
Vol 8 (21) ◽  
pp. 6551-6563 ◽  
Author(s):  
O. Meinander ◽  
A. Kontu ◽  
K. Lakkala ◽  
A. Heikkilä ◽  
L. Ylianttila ◽  
...  
Keyword(s):  
High Surface ◽  
Measured Temperature ◽  
Snow Melt ◽  
Clear Sky ◽  
Different Types ◽  
Essential Parameter ◽  
Surface Reflectivity ◽  
Climate Studies ◽  
Radiative Transfer Modeling ◽  
Surface Layer Thickness

Abstract. The relevance of snow for climate studies is based on its physical properties, such as high surface reflectivity. Surface ultraviolet (UV) albedo is an essential parameter for various applications based on radiative transfer modeling. Here, new continuous measurements of the local UV albedo of natural Arctic snow were made at Sodankylä (67°22'N, 26°39'E, 179 m a.s.l.) during the spring of 2007. The data were logged at 1-min intervals. The accumulation of snow was up to 68 cm. The surface layer thickness varied from 0.5 to 35 cm with the snow grain size between 0.2 and 2.5 mm. The midday erythemally weighted UV albedo ranged from 0.6 to 0.8 in the accumulation period, and from 0.5 to 0.7 during melting. During the snow melt period, under cases of an almost clear sky and variable cloudiness, an unexpected diurnal decrease of 0.05 in albedo soon after midday, and recovery thereafter, was detected. This diurnal decrease in albedo was found to be asymmetric with respect to solar midday, thus indicating a change in the properties of the snow. Independent UV albedo results with two different types of instruments confirm these findings. The measured temperature of the snow surface was below 0°C on the following mornings. Hence, the reversible diurnal change, evident for ~1–2 h, could be explained by the daily metamorphosis of the surface of the snowpack, in which the temperature of the surface increases, melting some of the snow to liquid water, after which the surface freezes again.

scholarly journals Inhomogeneity detection in the rainfall series for the Mae Klong River Basin, Thailand

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
Alamgir Khalil
Keyword(s):  
River Basin ◽  
Curve Analysis ◽  
Rainfall Series ◽  
Rainfall Data ◽  
Homogeneity Test ◽  
Significance Level ◽  
Von Neumann ◽  
Standard Normal Homogeneity Test ◽  
Double Mass ◽  
Climate Studies

AbstractAn accurate and complete rainfall record is prerequisite for climate studies. The purpose of this research study was to evaluate the homogeneity of the rainfall series for the Mae Klong River Basin in Thailand. Monthly rainfall data of eight stations in the Mae Klong River Basin for the period 1971–2015 were used. The double mass curve analysis was used to check the consistency of rainfall data, whereas the absolute homogeneity was assessed using the Pettitt test, standard normal homogeneity test, Buishand test, and von Neumann test at a 5% significance level. The results of these tests were qualitatively classified as ‘useful’, ‘doubtful’, and ‘suspect’ according to the null hypothesis. Results of the monthly time series indicated the rainfall data as ‘useful’ for 75% of the stations, while two stations’ data were classified as ‘doubtful’ (Stn130221) and ‘suspect’ (Stn376401). On an annual scale, seven out of eight stations data were classified as ‘useful,’ while one station (Stn376401) data were classified as ‘suspect’. Double mass curve analysis technique was used for the adjustment of inhomogeneous data. The results of this study can help provide reliable rainfall data for climate studies in the basin.

scholarly journals Melt regimes, stratigraphy, flow dynamics and glaciochemistry of three glaciers in the Alaska Range

2012 ◽  
Vol 58 (207) ◽  
pp. 99-109 ◽  
Author(s):  
Seth Campbell ◽  
Karl Kreutz ◽  
Erich Osterberg ◽  
Steven Arcone ◽  
Cameron Wake ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Ice Core ◽  
Chemical Diffusion ◽  
Flow Dynamics ◽  
Alaska Range ◽  
Ice Volume ◽  
Glacier Ice ◽  
Age Model ◽  
Ground Penetrating ◽  
Climate Studies

AbstractWe used ground-penetrating radar (GPR), GPS and glaciochemistry to evaluate melt regimes and ice depths, important variables for mass-balance and ice-volume studies, of Upper Yentna Glacier, Upper Kahiltna Glacier and the Mount Hunter ice divide, Alaska. We show the wet, percolation and dry snow zones located below ~2700ma.s.l., at ~2700 to 3900ma.s.l. and above 3900ma.s.l., respectively. We successfully imaged glacier ice depths upwards of 480 m using 40-100 MHz GPR frequencies. This depth is nearly double previous depth measurements reached using mid-frequency GPR systems on temperate glaciers. Few Holocene-length climate records are available in Alaska, hence we also assess stratigraphy and flow dynamics at each study site as a potential ice-core location. Ice layers in shallow firn cores and attenuated glaciochemical signals or lacking strata in GPR profiles collected on Upper Yentna Glacier suggest that regions below 2800ma.s.l. are inappropriate for paleoclimate studies because of chemical diffusion, through melt. Flow complexities on Kahiltna Glacier preclude ice-core climate studies. Minimal signs of melt or deformation, and depth-age model estimates suggesting ~4815 years of ice on the Mount Hunter ice divide (3912ma.s.l.) make it a suitable Holocene-age ice-core location.

scholarly journals Phase-Adjustment Mechanism during Enso Cycles under Sun-Moon Gravitation

2019 ◽  
Vol 2 (1) ◽  
Keyword(s):  
Climate Models ◽  
Adjustment Mechanism ◽  
Phase Adjustment ◽  
In Series ◽  
Climate Systems ◽  
Climate Studies ◽  
Oceanic Currents

Climate predictions often fail when climate starts to adjust, with uncertainties increasing with the length of prediction windows where observations are no longer available to contain the missed dynamics and correct climate models. I introduced the missed dynamic astronomy factor (Sun-Moon gravitation) into climate studies and found it producing phase adjustments during ENSO cycles through seasonally changing the atmospheric and oceanic circulations, besides producing structural atmospheric-oceanic currents, climatepaleoclimate variations, and initiating and maintaining planetary rotations that play key roles in weather-climate systems, as reported here in series after concerned miscellaneous equations and their derivations were published in [1,2].

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