Accuracy of atmospheric trends inferred from the Halogen Occultation Experiment data

2009 ◽  
Vol 3 (1) ◽  
pp. 033526 ◽  
Author(s):  
Larry Gordley
Keyword(s):  
Experiment Data ◽  
Halogen Occultation Experiment

scholarly journals Seasonal variation of water vapor in the lower stratosphere observed in Halogen Occultation Experiment data

2001 ◽  
Vol 106 (D13) ◽  
pp. 14313-14325 ◽  
Author(s):  
William J. Randel ◽  
Fei Wu ◽  
Andrew Gettelman ◽  
J. M. Russell ◽  
Joseph M. Zawodny ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Water Vapor ◽  
Lower Stratosphere ◽  
Experiment Data ◽  
Halogen Occultation Experiment

NUMERICAL MODEL TO SIMULATE THE EROSION ON THE SLOPE DUE TO OVERTOPPING

2010 ◽  
Vol 13 (3) ◽  
pp. 78-87
Author(s):  
Hoai Cong Huynh
Keyword(s):  
Numerical Model ◽  
Flow Model ◽  
Bed Load ◽  
Experiment Data ◽  
Step Method ◽  
Morphological Model ◽  
Load Transport ◽  
Bed Load Transport ◽  
The Finite Difference Method ◽  
Good Agreement

The numerical model is developed consisting of a 1D flow model and the morphological model to simulate the erosion due to the water overtopping. The step method is applied to solve the water surface on the slope and the finite difference method of the modified Lax Scheme is applied for bed change equation. The Meyer-Peter and Muller formulae is used to determine the bed load transport rate. The model is calibrated and verified based on the data in experiment. It is found that the computed results and experiment data are good agreement.

PRE-LBA FLUAMAZON EXPERIMENT DATA

2008 ◽  
Author(s):  
G. FISCH, ◽  
A. LOLA, ◽  
C. NOBRE, ◽  
E. ROCHA, ◽  
I. SILVA, ◽  
...  
Keyword(s):  
Experiment Data

Luquillo Experimental Forest canopy trimming experiment data

2019 ◽  
Author(s):  
Grizelle González ◽  
Ashley E. Van Beusekom ◽  
Sarah Stankavich ◽  
Jess K. Zimmerman ◽  
Alonso Ramírez
Keyword(s):  
Forest Canopy ◽  
Experiment Data ◽  
Luquillo Experimental Forest

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

Performansi aktual modul photovoltaik dengan pengarah matahari

2018 ◽  
Vol 12 (2) ◽  
pp. 98 ◽  
Author(s):  
Jalaluddin . ◽  
Baharuddin Mire
Keyword(s):  
Solar Radiation ◽  
Local Time ◽  
Performance Characteristic ◽  
Electrical Energy ◽  
Photovoltaic Module ◽  
Experiment Data ◽  
Actual Performance ◽  
Pv Module ◽  
Solar Tracking ◽  
Pv Modules

Actual performance of photovoltaic module with solar tracking is presented. Solar radiation can be converted into electrical energy using photovoltaic (PV) modules. Performance of polycristalline silicon PV modules with and without solar tracking are investigated experimentally. The PV module with dimension 698 x 518 x 25 mm has maximum power and voltage is 45 Watt and 18 Volt respectively. Based on the experiment data, it is concluded that the performance of PV module with solar tracking increases in the morning and afternoon compared with that of fixed PV module. It increases about 18 % in the morning from 10:00 to 12:00 and in the afternoon from 13:30 to 14:00 (local time). This study also shows the daily performance characteristic of the two PV modules. Using PV module with solar tracking provides a better performance than fixed PV module. 

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