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Book ; Online: Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions

Ma, Yaoming / Jia, Li / Menenti, Massimo / Zhong, Lei

2023

Keywords	Research & information: general ; Geography ; surface sensible heating ; Tibetan Plateau ; teleconnection wave trains ; dominant modes ; interannual and interdecadal variations ; land-atmosphere interaction ; evapotranspiration ; soil moisture ; temperature ; climate transition areas ; ICESat-1 ; ICESat-2 ; glacier elevation change ; inter-annual and intra-annual changes ; elevation-aspect bin analysis method ; HMA ; Qaidam Basin ; lake expansion ; groundwater contribution ; oxygen and hydrogen isotopes ; climate change ; Ngoring Lake ; saline lake ; lake temperature ; CLM4-LISSS ; salinity parameterizations ; Loess Plateau ; farmland ecosystem ; physiological and ecological factors ; Bowen ratio ; actual evapotranspiration ; complementary relationship ; permafrost ; seasonally frozen ground ; Qinghai-Tibet Plateau ; remote sensing ; afternoon and nighttime precipitation ; source region of three rivers ; typical climatic zones ; precipitation-use efficiency ; net primary productivity ; contribution of environmental factors ; transformation characteristics ; Sichuan Basin ; steep slope ; precipitation ; cloud ; diurnal variation ; ERA-5 reanalysis data ; surface energy ; land-atmospheric interaction ; different underlying surfaces ; land surface snow phenology ; statistical downscaling ; terrain ; climate ; southern Gansu Plateau ; raindrop size distribution (DSD) ; seasonal variation ; maritime-like ; South Asian summer monsoon ; land-atmosphere heat transfer ; inhomogeneity ; Qinghai-Tibetan Plateau ; snow disaster ; risk assessment ; WRF ; glacier ; albedo ; radiation ; optical turbulence ; Asian summer monsoon anticyclone ; upper troposphere-lower stratosphere ; heavy precipitation ; GPM ; dual frequency spaceborne radar ; vertical structure ; microphysical characteristic ; soil thermal diffusivity ; conduction-convection method ; soil temperature ; soil water content ; Normalized Difference Vegetation Index (NDVI) ; air temperature ; reanalysis dataset ; alpine region ; applicability ; Coupled Model Intercomparison Project Phase 6 (CMIP6) ; LAI ; LAI trend ; SAR ; retrieval algorithm ; high spatial resolution ; precipitable water vapor ; clear sky ; millimeter telescope ; Ali ; Muztag-Ata ; BTA ; n/a
Language	English
Size	1 electronic resource (490 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030374972
ISBN	9783036565163 ; 3036565167
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions II

Ma, Yaoming / Jia, Li / Menenti, Massimo / Zhong, Lei

2023

Keywords	Research & information: general ; soil moisture ; soil temperature ; seasonal and diurnal variation ; vertical profile ; Tibetan Plateau ; typical inland twin lakes ; change of water volume ; multisource altimetry data ; climate zones ; GFDL-ESM2M ; RCPs ; drought characteristics projections ; standardized precipitation-evapotranspiration index ; Third Pole ; in-situ and remote sensing data ; modeling ; glacier mass ; coherent doppler wind LiDAR ; northern edge of Tibetan plateau ; dusty weather ; monitoring application assessment ; MODIS ; lake surface water temperature ; lake turnover ; yardangs ; wind erosion ; climatic-environmental significance ; condensation ; desublimation ; land-atmosphere interactions ; latent heat flux ; ERA5-Land ; Qinghai-Tibet Plateau ; freezing-thawing processes ; climate change ; air temperature and precipitation ; Community Land Model ; drought monitoring ; machine learning method ; sensible heat flux ; Noah-MP ; SEBS ; land-atmosphere interaction ; air temperature ; ERA5-land ; Qinghai-Tibetan Plateau ; drought in Southwest China ; dynamic effects ; anticyclone on Tibetan Plateau ; landscape pattern ; runoff coefficient ; soil erosion modulus ; suspended sediment concentration ; subtropical monsoon climate zone ; southeastern China ; groundwater storage ; GRACE ; GLDAS ; vegetation response ; vegetation change ; near-surface air temperature ; annual and seasonal variations ; assimilation dataset ; WRF model ; freezing/thawing indices ; permafrost dynamics ; Community Land Surface Model ; n/a
Language	English
Size	1 electronic resource (348 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030645142
ISBN	9783036591377 ; 3036591370
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Earth Observation for Water Resource Management in Africa

Fernández-Prieto, Diego / Vekerdy, Zoltán / Menenti, Massimo / Koetz, Benjamin

2016

Abstract: Reliable access to water, managing the spatial and temporal variability of water availability, ensuring the quality of freshwater and responding to climatological changes in the hydrological cycle are prerequisites for the development of countries in ... ...

Abstract	Reliable access to water, managing the spatial and temporal variability of water availability, ensuring the quality of freshwater and responding to climatological changes in the hydrological cycle are prerequisites for the development of countries in Africa. Water being an essential input for biomass growth and for renewable energy production (e.g. biofuels and hydropower schemes) plays an integral part in ensuring food and energy security for any nation. Water, as a source of safe drinking water, is furthermore the basis for ensuring the health of citizens and plays an important role in urban sanitation.The concept of Integrated Water Resource Management (IWRM) is seen as an opportunity to help manage water variability and the wide spread water scarcity in Africa. One key component missing from IWRM in Africa is the limited knowledge of the available extent and quality of water resources at basin level.- Earth Observation (EO) technology can help fill this information gap by assessing and monitoring water resources at adequate temporal and spatial scales. The goal of this Special Issue is to understand and demonstrate the contribution which satellite observations, consistent over space and time, can bring to improve water resource management in Africa. Possible EO products and applications range from catchment characterization, water quality monitoring, soil moisture assessment, water extent and level monitoring, irrigation services, urban and agricultural water demand modeling, evapotranspiration estimation, ground water management, to hydrological modeling and flood mapping/forecasting.- Some of these EO applications have already been developed by African scientists within the 10 year lifetime of the TIGER initiative: Looking after Water in Africa (http://www.tiger.esa.int), whose contributions are intended to be the starting point of this Special Issue and is only one example of the wide range of activities in the field. Contributions from the entire African and international scientific community dealing with the challenges of water resource management in Africa are the target of the special issue
Size	1 electronic resource (XVIII, 538 p.)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT020091339
ISBN	9783038421535 ; 9783038421542 ; 3038421537 ; 3038421545
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book: Mesoscale climate hydrology

Menenti, Massimo

earth observation system ; definition phase

(Report / DLO Winand Staring Centre ; 106)

1995

Author's details	M. Menenti ... (ed.)
Series title	Report / DLO Winand Staring Centre ; 106 Report / The Winand Staring Centre for Integrated Land, Soil and Water Research
Collection	Report / The Winand Staring Centre for Integrated Land, Soil and Water Research
Size	197 S. : Ill., graph. Darst., Kt.
Publishing place	Wageningen
Publishing country	Netherlands
Document type	Book
HBZ-ID	HT007559942
Database	Catalogue ZB MED Nutrition, Environment, Agriculture

In stock of ZB MED Bonn / Germany

Shelf mark	Loan status	Location
974/607	available for loan (reading room)	Freihandmagazin (U1)

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Book: Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images

Menenti, Massimo

(Report / The Winand Staring Centre for Integrated Land, Soil and Water Research ; 32)

1991

Author's details	M. Menenti
Series title	Report / The Winand Staring Centre for Integrated Land, Soil and Water Research ; 32
Collection
Keywords	Sambia ; Vegetationsentwicklung ; Vegetationskartierung ; Fernerkundung
Subject	Pflanzensukzession ; Pflanzen ; Remote sensing
Size	46 S. : graph. Darst., farb. Kt.
Publishing place	Wageningen
Publishing country	Netherlands
Document type	Book
HBZ-ID	HT006211958
Database	Catalogue ZB MED Nutrition, Environment, Agriculture

In stock of ZB MED Bonn / Germany

Shelf mark	Loan status	Location
944/577	available for loan (reading room)	Freihandmagazin (U1)

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Article ; Online: Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018.

Xie, Qiuxia / Jia, Li / Menenti, Massimo / Hu, Guangcheng

Scientific data

2022 Volume 9, Issue 1, Page(s) 687

Abstract: Surface Soil Moisture (SSM) information is needed for agricultural water resource management, hydrology and climate analysis applications. Temporal and spatial sampling by the space-borne instruments designed to retrieve SSM is, however, limited by the ... ...

Abstract	Surface Soil Moisture (SSM) information is needed for agricultural water resource management, hydrology and climate analysis applications. Temporal and spatial sampling by the space-borne instruments designed to retrieve SSM is, however, limited by the orbit and sensors of the satellites. We produced a Global Daily-scale Soil Moisture Fusion Dataset (GDSMFD) with 25 km spatial resolution (2011~2018) by applying the Triple Collocation Analysis (TCA) and Linear Weight Fusion (LWF) methods. Using five metrics, the GDSMFD was evaluated against in-situ soil moisture measurements from ten ground observation networks and compared with the prefusion SSM products. Results indicated that the GDSMFD was consistent with in-situ soil moisture measurements, the minimum of root mean square error values of GDSMFD was only 0.036 cm
Language	English
Publishing date	2022-11-11
Publishing country	England
Document type	Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-022-01772-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Evaluation of Albedo Schemes in WRF Coupled with Noah-MP on the Parlung No. 4 Glacier

Liu, Lian / Menenti, Massimo / Ma, Yaoming

Remote Sensing. 2022 Aug. 13, v. 14, no. 16

2022

Abstract: Meteorological variables (e.g., air temperature (T2), radiation flux, and precipitation) determine the evolution of glacier mass and characteristics. Observations of these variables are not available with adequate spatial coverage and spatiotemporal ... ...

Abstract	Meteorological variables (e.g., air temperature (T2), radiation flux, and precipitation) determine the evolution of glacier mass and characteristics. Observations of these variables are not available with adequate spatial coverage and spatiotemporal resolution over the Tibetan Plateau. Albedo is the key factor of net radiation and is determined by the land cover and snow-related variables. This study focuses on evaluating the performance of the albedo parameterization scheme in WRF coupled with Noah-MP in terms of glacio-meteorological variables, by conducting experiments applying the standard surface albedo scheme with the default vegetation and corrected to ice cover and the modified glacial albedo scheme to the Parlung No. 4 Glacier in the 2016 ablation season. In situ glacio-meteorological element observations and MODIS-retrieved albedo are selected to assess the performance of the model. The key results are as follows. First, compared to the air temperature bias of 1.56 °C in WRF applying the standard surface albedo scheme and the default vegetation cover, realistic land-use categories considerably reduce the model warm bias on the glacier. The model using realistic land-use categories yields similar T2 diurnal patterns to the observations, with a mean bias of only −0.5 °C, no matter which glacial albedo scheme is implemented. Second, the default glacial albedo scheme gives a rather high albedo value of 0.68, causing an apparent underestimation of the net shortwave radiation and net radiation; the modified glacial albedo scheme gives a mean albedo value of 0.35, close to the in situ observations, helping to relieve underestimations of net shortwave radiation and net radiation. Compared with the MODIS albedo of the glacier, WRF applying the default glacial albedo scheme apparently overestimates the albedo with a mean error of 0.18, while WRF applying the modified glacial albedo scheme slightly underestimates the albedo with a mean error of only −0.08. Third, the mean net radiation flux (142 W m⁻²) and high ground heat flux (182 W m⁻²) values that were estimated by WRF applying the corrected land cover and the modified glacial albedo scheme result in the heating of the glacier surface and subsurface, causing ice melt and the liquid water content to increase more quickly and preferentially, equating to an estimated ice thickness decrease of 1 m by mid-June in the ablation region. Our study confirms the ability of the WRF model to reproduce glacio-meteorological variables as long as a reasonable glacial albedo scheme and the corrected land cover is applied and provides a theoretical reference for researchers that are committed to further improvement of the glacial albedo scheme.
Keywords	air temperature ; evolution ; heat transfer ; ice ; ice cover ; land cover ; land use ; liquids ; model validation ; net radiation ; shortwave radiation ; vegetation cover ; water content ; weather research and forecasting model ; China
Language	English
Dates of publication	2022-0813
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14163934
Database	NAL-Catalogue (AGRICOLA)

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Article: Optimal Estimate of Global Biome—Specific Parameter Settings to Reconstruct NDVI Time Series with the Harmonic ANalysis of Time Series (HANTS) Method

Zhou, Jie / Jia, Li / Menenti, Massimo / Liu, Xuan

Remote Sensing. 2021 Oct. 22, v. 13, no. 21

2021

Abstract: Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and thermal infrared spectrum such as vegetation spectral indices can be heavily contaminated by atmospheric conditions, including cloud and aerosol layers. ... ...

Abstract	Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and thermal infrared spectrum such as vegetation spectral indices can be heavily contaminated by atmospheric conditions, including cloud and aerosol layers. This contamination results in gaps or noisy observations. The harmonic analysis of time series (HANTS) has been widely used for time series reconstruction of remote sensing imagery in recent decades. To use HANTS model, a series of parameters, such as number of frequencies (NF), fitting error tolerance (FET), degree of over-determinedness (DoD), and regularization factor (Delta), need to be defined by users. These parameters provide flexibilities, but also make it difficult for non-expert users to determine appropriate settings for specific applications. This study systematically evaluated the reconstruction performance of the model under different parameter setting scenarios by simulating pixel-wise reference and noisy NDVI time series. The results of these numerical experiments were further used to identify optimal settings and improve global NDVI reconstruction performance. The results suggested optimal settings for different areas (local optimization). If a user opts to use unique settings for global reconstruction, the setting NF = 4, FET = 0.05, DoD = 5, and Delta = 0.5 can produce the best performance across all setting scenarios (global optimization). In addition, several internal improvements, such as dynamic weighting scheme, polynomial and inter-annual harmonic components, and ancillary attributes of input data can be used to further improve the performance of reconstruction. With these results, future non-expert users can easily determine appropriate settings of HANTS for specific applications in different regions.
Keywords	aerosols ; model validation ; models ; radiometry ; time series analysis ; vegetation
Language	English
Dates of publication	2021-1022
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13214251
Database	NAL-Catalogue (AGRICOLA)

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Article: Combining multi-spectral and thermal remote sensing to predict forest fire characteristics

Maffei, Carmine / Lindenbergh, Roderik / Menenti, Massimo

ISPRS journal of photogrammetry and remote sensing. 2021 Nov., v. 181

2021

Abstract: Forest fires preparedness strategies require the assessment of spatial and temporal variability of fire danger. While several tools have been developed to predict fire occurrence and behaviour from weather data, it is acknowledged that fire danger models ...

Abstract	Forest fires preparedness strategies require the assessment of spatial and temporal variability of fire danger. While several tools have been developed to predict fire occurrence and behaviour from weather data, it is acknowledged that fire danger models may benefit from direct assessment of live fuel condition, as allowed by Earth Observation technologies. In this study, the performance of pre-fire observations of land surface temperature (LST) anomaly and of the Perpendicular Moisture Index (PMI) in predicting fire characteristics was evaluated against the Canadian Forest Fire Weather Index (FWI) System, a fire danger model adopted in several areas worldwide. To this purpose, a database of forest fires recorded in Campania (13,595 km²), Italy, was combined with MODIS retrievals of LST anomaly and PMI, and with FWI maps from NASA’s Global Fire Weather Database. Fires were grouped in decile bins of LST anomaly, PMI and FWI System components, and probability distribution functions of burned area, fire duration and rate of spread were fitted in each bin. The dependence of probability model parameters on LST anomaly, PMI and FWI System components was assessed by means of trend analysis (coefficient of determination and p-value of the linear fit, Sen’s slope and Mann-Kendall test) and likelihood ratio test versus the corresponding unconditional probability model. Finally, the probability of an extreme event, conditional to ignition, was modelled as a function of LST anomaly and PMI. Results show that the probability distribution function of burned area has a strong dependence on both LST anomaly and PMI, that the probability distribution function of fire duration has a strong dependence on LST anomaly but not on PMI, and that the probability distribution function of rate of spread has a weak dependence on LST anomaly and a strong dependence on PMI. These results are in line with expectations from models of the combustion and flames propagation processes. Trend analyses and likelihood ratio tests showed that the FWI System components are good predictors of burned area and fire duration, but not of rate of spread. They also confirmed that, where LST anomaly and PMI are covariates of the considered fire characteristic, their performance is similar or better than the FWI System components. Finally, the probability of an extreme event in terms of burned area as a joint function of LST anomaly and PMI shows a wider dynamic range than the same probability modelled as a function of these remote sensing variables individually.
Keywords	combustion ; databases ; fire hazard ; fire weather ; forest fires ; forests ; meteorological data ; models ; photogrammetry ; probability ; probability distribution ; surface temperature ; temporal variation ; Italy
Language	English
Dates of publication	2021-11
Size	p. 400-412.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1007774-1
ISSN	0924-2716
ISSN	0924-2716
DOI	10.1016/j.isprsjprs.2021.09.016
Database	NAL-Catalogue (AGRICOLA)

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Article: Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements

Maffei, Carmine / Menenti, Massimo

ISPRS journal of photogrammetry and remote sensing. 2019 Dec., v. 158

2019

Abstract: Operational forest fire danger rating systems rely on the recent evolution of meteorological variables to estimate dead fuel condition. Further combining the latter with meteorological and environmental variables, they predict fire occurrence and spread. ...

Abstract	Operational forest fire danger rating systems rely on the recent evolution of meteorological variables to estimate dead fuel condition. Further combining the latter with meteorological and environmental variables, they predict fire occurrence and spread. In this study we retrieved live fuel condition from MODIS multispectral measurements in the near infrared and shortwave infrared. Next, we combined these retrievals with an extensive dataset on actual forest fires in Campania (13,595 km2), Italy, to determine how live fuel condition affects the probability distribution functions of fire characteristics. Accordingly, the specific objective of this study was to develop and evaluate a new approach to estimate the probability distribution functions of fire burned area, duration and rate of spread as a function of the Perpendicular Moisture Index (PMI), whose value decreases with decreasing live fuel moisture content (LFMC). To this purpose, available fire data was intersected with MODIS 8-day composited reflectance data so to associate each fire event with the corresponding pre-fire PMI observation. Fires were then grouped in ten decile bins of PMI, and the conditional probability distribution functions of burned area, fire duration and rate of spread were determined in each bin. Distributions of burned area and rate of spread vary across PMI decile bins, while no significant difference was observed for fire duration. Further testing this result with a likelihood ratio test confirmed that PMI is a covariate of burned area and rate of spread, but not of fire duration. We defined an extreme event as a fire whose burned area (respectively rate of spread) exceeds the 95th percentile of the frequency distribution of all observed fire events. The probability distribution functions in the ten decile bins of PMI were combined to obtain a conditional probability distribution function, which was then used to predict the probability of extreme fires, as defined. It was found that the probability of extreme events steadily increases with decreasing PMI. Overall, at the end of the dry season the probability of extreme events is about the double than at the beginning. These results may be used to produce frequently (e.g. daily) updated maps of the probability of extreme events given a PMI map retrieved from e.g. MODIS reflectance data.
Keywords	data collection ; dry season ; environmental factors ; fire hazard ; forest fires ; frequency distribution ; fuel moisture index ; fuels ; fuels (fire ecology) ; meteorological parameters ; moderate resolution imaging spectroradiometer ; prediction ; probability ; probability distribution ; reflectance ; satellites ; Italy
Language	English
Dates of publication	2019-12
Size	p. 263-278.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1007774-1
ISSN	0924-2716
ISSN	0924-2716
DOI	10.1016/j.isprsjprs.2019.10.013
Database	NAL-Catalogue (AGRICOLA)

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