scholarly journals Hydrological Modeling in Water Cycle Processes

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1882
Author(s):  
Weiguang Wang ◽  
Lu Chen ◽  
Chong-Yu Xu
Keyword(s):  
Hydrological Modeling ◽  
Water Cycle ◽  
Ocean Surface ◽  
The Earth ◽  
Complex Movement

The water cycle shows the continuous and complex movement of water within the earth and atmosphere in which water moves from the land and ocean surface to the atmosphere and back in form of precipitation [...]

scholarly journals Long-period changes of the air temperature in Tatarstan and their forecast till the end of the 21st century

2019 ◽  
pp. 94-107
Author(s):  
Yuri P. Perevedentsev ◽  
Konstantin M. Shantalinskii ◽  
Boris G. Sherstukov ◽  
Alexander A. Nikolaev
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
21St Century ◽  
Ocean Surface ◽  
The Arctic ◽  
Long Distance ◽  
Climate Fluctuations ◽  
Long Period ◽  
The Earth

Long-term changes in air temperature on the territory of the Republic of Tatarstan in the 20th–21st centuries are considered. The periods of unambiguous changes in the surface air temperature are determined. It is established that the average winter temperature from the 1970s to 2017, increased in the Kazan region by more than 3 °C and the average summer temperature increased by about 2 °C over the same period. The contribution of global scale processes to the variability of the temperature of the Kazan region is shown: it was 37 % in winter, 23 % in summer. The correlation analysis of the anomalies of average annual air temperature in Kazan and the series of air temperature anomalies in each node over the continents, as well as the ocean surface temperature in each coordinate node on Earth for 1880 –2017, was performed. Long-distance communications were detected in the temperature field between Kazan and remote regions of the Earth. It is noted that long-period climate fluctuations in Kazan occur synchronously with fluctuations in the high latitudes of Asia and North America, with fluctuations in ocean surface temperature in the Arctic ocean, with fluctuations in air temperature in the Far East, and with fluctuations in ocean surface temperature in the Southern hemisphere in the Indian and Pacific oceans, as well as air temperature in southern Australia. It is suggested that there is a global mechanism that regulates long-term climate fluctuations throughout the Earth in the considered interval of 200 years of observations. According to the CMIP5 project, climatic scenarios were built for Kazan until the end of the 21st century.

scholarly journals The fate of Earth’s ocean

2001 ◽  
Vol 5 (4) ◽  
pp. 569-576 ◽  
Author(s):  
C. Bounama ◽  
S. Franck ◽  
W. von Bloh
Keyword(s):  
Sea Water ◽  
Water Movement ◽  
Water Cycle ◽  
Outer Space ◽  
Water Reservoir ◽  
Reservoir Water ◽  
Global Water Cycle ◽  
The Earth ◽  
The Future ◽  
Global Water

Abstract. Questions of how water arrived on the Earth’s surface, how much water is contained in the Earth system as a whole, and how much water will be available in the future in the surface reservoirs are of central importance to our understanding of the Earth. To answer the question about the fate of the Earth’s ocean, one has to study the global water cycle under conditions of internal and external forcing processes. Modern estimates suggest that the transport of water to the surface is five times smaller than water movement to the mantle, so that the Earth will lose all its sea-water in one billion years from now. This straightforward extrapolation of subduction-zone fluxes into the future seems doubtful. Using a geophysical modelling approach it was found that only 27% of the modern ocean will be subducted in one billion years. Internal feedbacks will not be the cause of the ocean drying out. Instead, the drying up of surface reservoirs in the future will be due to the increase in temperature caused by a maturing Sun connected to hydrogen escape to outer space. Keywords: Surface water reservoir, water fluxes, regassing, degassing, global water cycle

scholarly journals Past terrestrial water storage (1980–2008) in the Amazon Basin reconstructed from GRACE and in situ river gauging data

2011 ◽  
Vol 15 (2) ◽  
pp. 533-546 ◽  
Author(s):  
M. Becker ◽  
B. Meyssignac ◽  
L. Xavier ◽  
A. Cazenave ◽  
R. Alkama ◽  
...  
Keyword(s):  
Large Scale ◽  
Amazon Basin ◽  
Hydrological Modeling ◽  
Water Cycle ◽  
Southern Oscillation ◽  
Water Storage ◽  
Terrestrial Water Storage ◽  
Direct Estimate ◽  
Terrestrial Water

Abstract. Terrestrial water storage (TWS) composed of surface waters, soil moisture, groundwater and snow where appropriate, is a key element of global and continental water cycle. Since 2002, the Gravity Recovery and Climate Experiment (GRACE) space gravimetry mission provides a new tool to measure large-scale TWS variations. However, for the past few decades, direct estimate of TWS variability is accessible from hydrological modeling only. Here we propose a novel approach that combines GRACE-based TWS spatial patterns with multi-decadal-long in situ river level records, to reconstruct past 2-D TWS over a river basin. Results are presented for the Amazon Basin for the period 1980–2008, focusing on the interannual time scale. Results are compared with past TWS estimated by the global hydrological model ISBA-TRIP. Correlations between reconstructed past interannual TWS variability and known climate forcing modes over the region (e.g., El Niño-Southern Oscillation and Pacific Decadal Oscillation) are also estimated. This method offers new perspective for improving our knowledge of past interannual TWS in world river basins where natural climate variability (as opposed to direct anthropogenic forcing) drives TWS variations.

scholarly journals STOCHASTICITY IN GEOPHYSICAL AND HYDROLOGICAL TIME SERIES*

1971 ◽  
Vol 2 (4) ◽  
pp. 217-242 ◽  
Author(s):  
VUJICA YEVJEVICH
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
Stochastic Processes ◽  
Water Cycle ◽  
Underground Water ◽  
Physical Basis ◽  
The Earth ◽  
Incoming Solar Radiation ◽  
Earth's Crust ◽  
Main Influence

Most time processes within the atmosphere and oceans, and along the water cycle are periodic-stochastic processes, with the physical basis of the periodicity derived from astronomic cycles and the stochasticity produced by various sources of randomness within the environments of the earth. The atmosphere is the major source of stochasticity in all those geophysical time processes which are connected to the incoming solar radiation, though the oceans, the earth's surface, and the earth's crust also produce the stochasticity. The main influence of the oceans and the continental surfaces as well as the underground water is, however, to attenuate the high stochasticity produced by the atmosphere. It is concluded that without stochastic meteorology a good understanding of many geophysical stochastic processes will be difficult.

scholarly journals The main theories of additional complications in the earth’s biosphere

2019 ◽  
Vol 89 (8) ◽  
pp. 800-810
Author(s):  
S. L. Shvartsev
Keyword(s):  
Organic Matter ◽  
Water Cycle ◽  
Outer Shell ◽  
Inert Material ◽  
Main Concern ◽  
Living Matter ◽  
Constant Acceleration ◽  
Evolutionary Processes ◽  
The Earth ◽  
Creative Role

Evolution is an important topic for science in general and has been the main concern of many scientists for several decades. One reason for this continued interest is that science is yet to disclose the creative role that water plays in the formation of the outer shell of the Earth, determined by its antagonistic relationship with basalts and with the simple products of photosynthesis. Nonequilibrium is the main state in all evolutionary processes, ensuring the creation of new equilibrium formations with the environment. However, the water cycle, which continuously determines the flow of new water to systems breaking equilibria, produces an additional complication, leading to the constant acceleration of the evolution of the structure that characterized by V.I. Vernadsky as "water–rock–gas–organic matter (animate and inanimate)". Water provides a unity of the behavior of inert material and living matter.

scholarly journals Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada

2019 ◽  
Author(s):  
Hyung-Il Eum ◽  
Anil Gupta
Keyword(s):  
River Basin ◽  
Evaluation System ◽  
Hydrological Modeling ◽  
Water Cycle ◽  
Climatic Conditions ◽  
Superior Performance ◽  
Climate Data ◽  
Athabasca River ◽  
The North ◽  
Spatial Coverage

Abstract. A reliable climate dataset is a backbone for modeling the essential processes of the water cycle and predicting future conditions. Although a number of gridded climate datasets are available for the North American content, which provide reasonable estimates of climatic conditions in the region, there are inherent inconsistencies in these available climate datasets (e.g., spatial and temporal varying data accuracies, meteorological parameters, length of records, spatial coverage, temporal resolution, etc). These inconsistencies raise a valid question as to which datasets are the most suitable for the study area and how to systematically combine these datasets to produce a reliable climate dataset for climate studies and hydrological modeling. This study suggested a framework, called reference reliability evaluation system (REFRES), that systematically determines a ranking of multiple climate datasets to generate a hybrid climate dataset for a region. To demonstrate the usefulness of the proposed framework, REFRES was applied to produce a historical hybrid climate dataset for the Athabasca River basin in Alberta, Canada. A proxy validation was also conducted to prove the applicability of the generated hybrid climate datasets to hydrologic simulations. This study evaluated five climate datasets, including station-based gridded climate datasets (ANUSPLIN, Alberta Township, and PNWNAmet), a multi-source gridded dataset (Canadian Precipiation Analysis – CaPA), and a reanalysis-based dataset (NARR). The results showed that the gridded climate interpolated from station data performed better than multi-source and reanalysis based climate datasets. For the Athabasca River basin, Township and ANUSPLIN were mostly ranked first for precipitation and temperature, respectively. The proxy validation also confirmed the superior performance of hybrid climate datasets compared with the other five individual climate datasets investigated in this study. These results indicate that the hybrid climate dataset provides a better representation of historical climatic conditions and thus, enhancing the reliability of hydrologic simulations.

scholarly journals Vegetation Analysis of the Tagafura Protected Forest in the City of Tidore Islands

2020 ◽  
Vol 13 (2) ◽  
pp. 426
Author(s):  
Sabaria Niapele ◽  
Tamrin Salim
Keyword(s):  
Relative Frequency ◽  
Water Cycle ◽  
Research Result ◽  
Vegetation Analysis ◽  
Importance Value Index ◽  
Importance Value ◽  
Forest Park ◽  
The Earth ◽  
The Government ◽  
The City

The existence of Forest park vegetation in Tagafura as the  vegetation cover are  important to be maintain and preserved, since it’s effective for the human live on the earth. The function of this forest park  is to defend the field around the forest in several ways such as, the water cycle, avoid the flood, erosion scheming and the soil fruitfulness keeper. The Tagafura Forest Park has a lot of natural resource, but the structure and the composition of the field are not completely found yet. Based on the the statement above the Researcher are interested to conduct the research entitled “ VEGETATION ANALYSIS OF THE TAGAFURA FOREST PARK IN TIDORE ISLAND to know about the structure and the composition of the vegetation in the Forest park of Tagafura and be able to being as the government substance while made a decision about the Forest park. This research used purposive sampling with a combination of to track and double plot to placement the plot. The data then analyzing used the density and relative density formula, domination and relative domination formula, frequency and relative frequency formula and The Importance Value Index (INP). Based on the research result, the data was founded that the forest has 25 structures include 15 types of Seedlings, 10 type of Stakes, 13 type of poles and 12 types of tress.  The domination of the composition type amount the growth based on the INP is (1). Augenia aromatic with the INP in Seedling are 45,49. INP for Stand  are 18,05. INP for the  are 23,67 and the INP for the trees are 132.08. (2). Myristica fragrans has the INP for the seedlings are 31.44. INP for Stand are 15.11. INP for the poles are 30.27  and the INP for the trees are 47.25.  (3). Gnetum gnemo has the INP for the seedlings are 19,48. INP for Stand are 24.21. INP for the  poles are 49.92  and the INP for the trees are 10.83. (4). Arenga Pinnata has the INP for the seedlings are 18,13. INP for Stand are 36.11. INP for the  poles are 24.04  and the INP for the trees are 17.51. (5). Cinnamomum verum has the INP for the seedlings are 11.84. INP for Stand are 33.17. INP for the  poles are 26.42  and the INP for the trees are 7.36.

scholarly journals Effect of Hydrological Cycle on Climate

2017 ◽  
pp. 18-27
Author(s):  
Lian Sung
Keyword(s):  
Surface Runoff ◽  
Hydrological Cycle ◽  
Water Cycle ◽  
Saline Water ◽  
Hydrologic Cycle ◽  
Atmospheric Water ◽  
Physical Processes ◽  
The Earth ◽  
Wide Range ◽  
Over Time

The water cycle, also known as the hydrological cycle or the hydrologic cycle, describes the continuous movement of water on, above and below the surface of the Earth. The mass of water on Earth remains constant over time but the partitioning of the water into the major reservoirs of ice, fresh water, saline water and atmospheric water is variable depending on a wide range of climatic variables. The water moves from one reservoir to another, such as from river to ocean, or from the ocean to the atmosphere, by the physical processes of evaporation, condensation, precipitation, infiltration, surface runoff, and subsurface flow. In doing so, the water goes through different forms: liquid, solid (ice) and vapor.

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