Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics
Rolf H. Reichle,Gabrielle De Lannoy,Qing Liu,Randal D. Koster,John S. Kimball,Wade T. Crow,Joseph V. Ardizzone,Purnendu Chakraborty,Douglas W. Collins,Austin Conaty,Manuela Girotto,Manuela Girotto,Lucas A. Jones,Jana Kolassa,Jana Kolassa,Hans Lievens,Hans Lievens,Robert A. Lucchesi,Edmond B. Smith +18 more
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TLDR
The O-F auto-correlations suggest that the SMAP observations are used efficiently in western North America, the Sahel, and Australia, but not in many forested regions and the high northern latitudes.Abstract:
The Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4_SM) product provides 3-hourly, 9-km resolution, global estimates of surface (0–5 cm) and root-zone (0–100 cm) soil moisture and related land surface variables from 31 March 2015 to present with ~2.5-day latency. The ensemble-based L4_SM algorithm assimilates SMAP brightness temperature (Tb) observations into the Catchment land surface model. This study describes the spatially distributed L4_SM analysis and assesses the observation-minus-forecast (O − F) Tb residuals and the soil moisture and temperature analysis increments. Owing to the climatological rescaling of the Tb observations prior to assimilation, the analysis is essentially unbiased, with global mean values of ~0.37 K for the O − F Tb residuals and practically zero for the soil moisture and temperature increments. There are, however, modest regional (absolute) biases in the O − F residuals (under ~3 K), the soil moisture increments (under ~0.01 m3 m−3), and the sur...read more
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The Ensemble Kalman Filter: Theoretical formulation and practical implementation
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
Journal ArticleDOI
Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements
Rolf H. Reichle,Gabrielle De Lannoy,Qing Liu,Joseph V. Ardizzone,Andreas Colliander,Austin Conaty,Wade T. Crow,Thomas J. Jackson,Lucas A. Jones,John S. Kimball,Randal D. Koster,Sarith Mahanama,Edmond B. Smith,Aaron A. Berg,Simone Bircher,David D. Bosch,Todd G. Caldwell,Michael H. Cosh,A. Gonzalez-Zamora,Chandra Holifield Collins,Karsten Høgh Jensen,Stan Livingston,Ernesto Lopez-Baeza,José Martínez-Fernández,H. McNairn,Mahta Moghaddam,A. Pacheco,Thierry Pellarin,John H. Prueger,Tracy Rowlandson,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,M. Thibeault,Rogier van der Velde,Jeffrey P. Walker,Xiaoling Wu,Yijian Zeng +37 more
TL;DR: The Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model as mentioned in this paper.
Journal ArticleDOI
Validation practices for satellite soil moisture retrievals: what are (the) errors?
Alexander Gruber,G. De Lannoy,Clément Albergel,Amen Al-Yaari,Luca Brocca,J.C. Calvet,Andreas Colliander,Michael H. Cosh,Wade T. Crow,Wouter Dorigo,Clara S. Draper,Martin Hirschi,Yann Kerr,Alexandra G. Konings,William Lahoz,Kaighin A. McColl,Carsten Montzka,Joaquín Muñoz-Sabater,Jian Peng,Rolf H. Reichle,Philippe Richaume,Christoph Rudiger,Tracy Scanlon,R. van der Schalie,J. P. Wigneron,Wolfgang Wagner +25 more
TL;DR: In this article, the authors present a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products and provide theoretical background, a review of state-of-the-art methodologies for estimating errors in soil moisture data sets, practical recommendations on data pre-processing and presentation of statistical results, and a recommended validation protocol that is supplemented with an example validation exercise focused on microwave-based surface soil moisture product.
Journal ArticleDOI
Satellite and in situ observations for advancing global earth surface modelling: A review
Gianpaolo Balsamo,Anna Agusti-Panareda,Clément Albergel,Gabriele Arduini,Anton Beljaars,Jean Bidlot,Nicolas Bousserez,Souhail Boussetta,Andrew Brown,Roberto Buizza,Carlo Buontempo,Frédéric Chevallier,Margarita Choulga,Hannah Cloke,Meghan F. Cronin,Mohamed Dahoui,Patricia de Rosnay,Paul A. Dirmeyer,Matthias Drusch,Emanuel Dutra,Michael Ek,Pierre Gentine,Helene T. Hewitt,Sarah Keeley,Yann Kerr,Sujay V. Kumar,Cristina Lupu,Jean Francois Mahfouf,Joe McNorton,Susanne Mecklenburg,Kristian Mogensen,Joaquín Muñoz-Sabater,Rene Orth,Florence Rabier,Rolf H. Reichle,Ben Ruston,Florian Pappenberger,Irina Sandu,Sonia I. Seneviratne,Steffen Tietsche,Isabel F. Trigo,Remko Uijlenhoet,Nils Wedi,R. Iestyn Woolway,Xubin Zeng +44 more
TL;DR: This paper reviews the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling, and discusses recent examples where satellite remote sensing is used to infer observable surface quantities directly or indirectly.
Journal ArticleDOI
A roadmap for high-resolution satellite soil moisture applications ─ confronting product characteristics with user requirements
Jian Peng,Jian Peng,Jian Peng,Clément Albergel,Anna Balenzano,Luca Brocca,Oliver Cartus,Michael H. Cosh,Wade T. Crow,Katarzyna Dabrowska-Zielinska,Simon Dadson,Malcolm Davidson,Patricia de Rosnay,Wouter Dorigo,Alexander Gruber,Stefan Hagemann,Martin Hirschi,Yann Kerr,Francesco P. Lovergine,Miguel D. Mahecha,Philip Marzahn,Francesco Mattia,Jan Pawel Musial,Swantje Preuschmann,Rolf H. Reichle,Giuseppe Satalino,Martyn Silgram,Peter M. van Bodegom,Niko E. C. Verhoest,Wolfgang Wagner,Jeffrey P. Walker,Urs Wegmüller,Alexander Loew +32 more
TL;DR: In this article, a review summarizes existing applications of satellite-derived soil moisture products and identifies gaps between the characteristics of currently available soil moisture product and the application requirements from various disciplines.
References
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The Ensemble Kalman Filter: Theoretical formulation and practical implementation
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
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