2020 |
Khaki M, El-Mowafy A, 'Characterizing Positioning Errors When Using the Second-Generation Australian Satellite-Based Augmentation System', Artificial Satellites: journal of planetary geodesy, 55 (2020) [C1]
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2020 |
Khaki M, Zerihun A, Awange JL, Dewan A, 'Integrating satellite soil-moisture estimates and hydrological model products over Australia', AUSTRALIAN JOURNAL OF EARTH SCIENCES, 67 265-277 (2020) [C1]
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2020 |
Khaki M, Ait-El-Fquih B, Hoteit I, 'Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing', Journal of Hydrology, 584 (2020) [C1]
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2020 |
Khaki M, Filmer MS, Featherstone WE, Kuhn M, Bui LK, Parker AL, 'A Sequential Monte Carlo Framework for Noise Filtering in InSAR Time Series', IEEE Transactions on Geoscience and Remote Sensing, 58 1904-1912 (2020) [C1]
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2020 |
Liu H, Jia Y, Niu C, Su H, Wang J, Du J, et al., 'Development and validation of a physically-based, national-scale hydrological model in China', Journal of Hydrology, 590 (2020) [C1]
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2020 |
Sherin VR, Durand F, Papa F, Islam AS, Gopalakrishna VV, Khaki M, Suneel V, 'Recent salinity intrusion in the Bengal delta: Observations and possible causes', Continental Shelf Research, 202 (2020) [C1]
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2020 |
Khaki M, Awange J, 'Altimetry-derived surface water data assimilation over the Nile Basin', Science of the Total Environment, 735 (2020) [C1]
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2020 |
Khaki M, Hendricks Franssen H-J, Han SC, 'Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation', Scientific Reports, 10 (2020) [C1]
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2019 |
Khaki M, Awange J, 'The application of multi-mission satellite data assimilation for studying water storage changes over South America', Science of the Total Environment, 647 1557-1572 (2019) [C1]
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2019 |
Khaki M, Hoteit I, Kuhn M, Forootan E, Awange J, 'Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context', Science of the Total Environment, 647 1031-1043 (2019) [C1]
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2019 |
Awange JL, Hu KX, Khaki M, 'The newly merged satellite remotely sensed, gauge and reanalysis-based Multi-Source Weighted-Ensemble Precipitation: Evaluation over Australia and Africa (1981 2016)', Science of the Total Environment, 670 448-465 (2019) [C1]
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2019 |
Forootan E, Khaki M, Schumacher M, Wulfmeyer V, Mehrnegar N, van Dijk AIJM, et al., 'Understanding the global hydrological droughts of 2003 2016 and their relationships with teleconnections', Science of the Total Environment, 650 2587-2604 (2019) [C1]
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2019 |
Khaki M, Awange J, 'Improved remotely sensed satellite products for studying Lake Victoria's water storage changes', Science of the Total Environment, 652 915-926 (2019) [C1]
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2018 |
Khaki M, Awange J, Forootan E, Kuhn M, 'Understanding the association between climate variability and the Nile's water level fluctuations and water storage changes during 1992 2016', Science of the Total Environment, 645 1509-1521 (2018) [C1]
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2018 |
Khaki M, Forootan E, Kuhn M, Awange J, Longuevergne L, Wada Y, 'Efficient basin scale filtering of GRACE satellite products', REMOTE SENSING OF ENVIRONMENT, 204 76-93 (2018)
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2018 |
Khaki M, Hamilton F, Forootan E, Hoteit I, Awange J, Kuhn M, 'Nonparametric Data Assimilation Scheme for Land Hydrological Applications', WATER RESOURCES RESEARCH, 54 4946-4964 (2018) [C1]
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2018 |
Khaki M, Forootan E, Kuhn M, Awange J, Papa F, Shum CK, 'A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme', SCIENCE OF THE TOTAL ENVIRONMENT, 625 963-977 (2018)
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2018 |
Anyah RO, Forootan E, Awange JL, Khaki M, 'Understanding linkages between global climate indices and terrestrial water storage changes over Africa using GRACE products', SCIENCE OF THE TOTAL ENVIRONMENT, 635 1405-1416 (2018)
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2018 |
Khaki M, Forootan E, Kuhn M, Awange J, van Dijk AIJM, Schumacher M, Sharifie MA, 'Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model', ADVANCES IN WATER RESOURCES, 114 1-18 (2018)
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2018 |
Khaki M, Ait-El-Fquih B, Hoteit I, Forootan E, Awange J, Kuhn M, 'Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation', Journal of Hydrology, 564 175-190 (2018) [C1]
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2017 |
Khaki M, Ait-El-Fquih B, Hoteit I, Forootan E, Awange J, Kuhn M, 'A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint', JOURNAL OF HYDROLOGY, 555 447-462 (2017)
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2017 |
Khaki M, Hoteit I, Kuhn M, Awange J, Forootan E, van Dijk AIJM, et al., 'Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model', ADVANCES IN WATER RESOURCES, 107 301-316 (2017)
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2017 |
Khaki M, Schumacher M, Forootan E, Kuhn M, Awange JL, van Dijk AIJM, 'Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization', ADVANCES IN WATER RESOURCES, 108 99-112 (2017)
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2015 |
Khaki M, Forootan E, Sharifi MA, Awange J, Kuhn M, 'Improved gravity anomaly fields from retracked multimission satellite radar altimetry observations over the Persian Gulf and the Caspian Sea', GEOPHYSICAL JOURNAL INTERNATIONAL, 202 1522-1534 (2015)
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2015 |
Khaki M, Forootan E, Sharifi MA, Safari A, 'Retracking satellite radar altimetry using a new approach 'ExtR method'; Case study: Persian Gulf', Journal of the Earth and Space Physics, 41 107-123 (2015)
Monitoring of the water levels within the seas and oceans has been enhanced by application of satellite radar altimetry missions, compared to the traditional in-situ tide gauge me... [more]
Monitoring of the water levels within the seas and oceans has been enhanced by application of satellite radar altimetry missions, compared to the traditional in-situ tide gauge measurements, due to their vast coverage and better spatial resolution. Satellite radar altimetry, which is originally designed to measure global ocean surface height, has been applied to inland surface water hydrological studies. Satellite radar altimetry, well known as TOPEX/POSEIDON, JASON, ENVISAT, which have been originally designed to measure global ocean surface height, nowadays, also demonstrated a great potential for the applications of inland water body studies. Altimetry was designed to determine the sea surface height based on spatial technology, electronic technology and microwave technology and basically work with sending and receiving electromagnetic pulse. Waveform is actually a curve, which shows the power of mentioned pulse reflected back to the altimeter. Altimeter on board of the satellite measures the range by sending and receiving a short pulse and calculating its travel time. The most important output of this procedure is the altimeter range. Due to the effect of topography and heterogeneity of reflecting surface and atmospheric effects, the expected waveform for altimeter returns over land differs from that over the ocean surfaces and subsequently the range is not as accurate. As a result, sea surface height values derived from altimetry over ice sheets and inland water bodies (particularly close to the coast lines) represent more errors in compared to the waveforms returned from other part of the ocean surface and may include missing data. We have developed a water-detection algorithm based on statistical analysis of decadal TOPEX/POSEIDON and JASON-1 height measurement time series and also their ground passes of the sea surface height in Persian Gulf. The Persian Gulf is certainly one of the most vital bodies of water on the planet; as gas and oil from Middle Eastern countries flow through it, supplying much of the world's energy needs.This algorithm contains a noise elimination process that includes Outlier Detection and Elimination of Unwanted Waveforms (ODEUW), an unsupervised classification of the satellite waveforms, and finally a retracking procedure. An unsupervised classification algorithm is implemented to classify the waveforms into consistent groups for which the appropriate retracking algorithms are performed. On the other hand the waveforms belong to the same group which refer to almost the land with common properties. The waveform retracking method is mainly used to calculate the offset between the practical middle point of waveform leading edge and the designed gate, based on which the retracked distance correction can be computed. Four different methods are implemented for retracking the waveforms. This includes the three previously introduced algorithms, including off center of gravity, threshold retracking and optimized iterative least squares fitting, after some improvements. We also introduce a new method based on edge detection and extracting extremum point, which is called 'ExtR retracking method'. At the end two different methods for validation of our results are examined, first consider the SSH time series before and after retracking then compare those with in situ data, the second, retrack the ground pass track lines data from two satellites and compare them with the geoid data.
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2014 |
Khaki M, Forootan E, Sharifi MA, 'Satellite radar altimetry waveform retracking over the Caspian Sea', INTERNATIONAL JOURNAL OF REMOTE SENSING, 35 6329-6356 (2014)
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