1
P1.19: Post-GPM rain retrieval and 3-D wind retrieval: the DYCECT mission. Nicolas Viltard, Audrey Martini, Yvon Lemaˆ ıtre LATMOS, IPSL, INSU/CNRS-Universit´ e Versailles Saint-Quentin, 11 bd d’Alembert, 78280 Guyancourt, France contact: [email protected] 1 Context In 2010 the French CNES (Centre National d’Etudes Spatiales ) and the Brazilian INPE (Instituto Nacional de Pesquisas Espaciais ) con- duced a phase-0 study for a space mission called BOITATA. This mis- sion was meant to be a follow-on of the Indo-French mission Megha- Tropiques. The project was not carried beyond phase 0 but the general concept was validated and more specifically, CNES expressed an inter- est for one of the proposed instruments: the scanning Doppler radar. The access to information about the dynamics of convection, even at moderate spatial and temporal resolution is probably the next big chal- lenge for space-borne remote sensing. Over the last couple of decades, an innumerable number of field experiment has taken place all over the world but these are not best suited to build a robust statistics of the properties of the dynamics of convection. A space-borne measurement of the Doppler velocities would allow to improve our knowledge on the mass and energy budget of convection. EarthCare (ESA-JAXA) is the first step toward this direction but the measurements (94 GHz radar) will be limited to the satellite nadir, giving access only to the vertical wind component, w. ADM-AEOLUS (ESA, lidar ALADIN side looking @ 35 off-nadir) will also provide some wind profiling but will be quickly attenuated in the presence of deep clouds or precipitation. More generally, the community interested in rain retrievals and rain es- timates should ask itself if the post-GPM system should be driven by passive radiometers, by radars or by a balanced mix of both. Figure 1: One of the considered scenario for the PMR (image AS- TRIUM). The general design is derived from MADRAS/SAPHIR (LF channels) with the additional mm/sub-mm channels (HF chan- nels) accommodated at the ”back”. 2 Mission Concept Although we will be more specifically presenting some pre-studies about the Doppler radar measurement hereafter, the global mission concept pro- posed in BOITATA was geared toward the general understanding of the connection between cold-cloud microphysics and dynamics in the tropical convection. To this specific purpose, the satellite is carrying a set of 3 instruments. The first instrument is a broad-band VIRS radiometer of ScaraB heritage designed to measure the TOA radiative budget with improved capabilities in terms of cloud top imaging. The second instrument is a conical scanning radiometer (Fig. 1) cov- ering the usual set of channels from 19 to 157 GHz with sounding ca- pabilities at 183 GHz ((183 GHz ±0.2, ±1.1, ±2.7, ±4, ±6.6)), but also exploring the mm/sub-mm wavelength (243, 325.15 ±1.5, ±3.5, ±9.5, 448 ±1.4, ±3, ±7.2 et 664 GHz). The general design is a MADRAS heritage with the addition of the SAPHIR channels. The mm/sub-mm channels are mounted on a independent reflector at the back of the main system. The Low (LF, 18-183 GHz) and the High (HF, 243-664 GHz) Frequencies share the same rotating deck but are shifted by 180 o . The co-location between the HF and the LF is performed afterward through the Level-0 to Level 1 processing. The third instrument is a Doppler scanning radar described hereafter. Figure 2: Schematic of a phased-array electronic scanning configura- tion where Doppler measurements (V D )are made for various eleva- tion (corresponding to various incidence angles α). The number and selection of these incidence angles will define the swath. One mea- surement is perpendicular to the satellite displacement (V), one is forward (+θ ) and the last one is backward (-θ ). The satellite flies at altitude Z S (Concept Thal` es Alenia Space). 3 Radar Concepts 3.1 General Principle Measurement of Doppler velocities of the order of 1m.s -1 on a satellite moving at about 7km.s -1 is a challenging task. Complex effects of contamination of the satellite motion within the radar beam have to be accounted for and the first constraint is to keep the said beam as narrow as possible. In order to keep the antenna size within the 1 - 1.2m range, the only possible frequencies for the radar are either Ka (35 GHz) or W (94 GHz). Both frequencies are attenuated to some extent. The 35 GHz less so, but it would offer a larger beam width for the same dish size, which would increase the platform velocity contamination effect and the Non-Uniform Beam-Filling (NUBF). On the other hand, the 94 GHz is very good for small ice crystal detection and ice cloud studies but it can be affected by more multiple scattering in regions where ice is highly concentrated and it is very much attenuated in the warm cloud part. This last drawback of the 94 GHz has to be considered keeping in mind that the radar will have a blind region of about 2 to 4 km anyway near the surface (ground clutter and H/V surface echo disambiguation). Figure 3: Same as Fig. 2 but for a mechanical scanning system. The antenna is a classical dish rotating around a vertical axis, which gives a constant incidence angle at the surface. The combination of the satellite motion and the antenna rotation lead to a spiral-like pattern of the beam at the surface. This allows a Doppler measurement along various non-colinear directions. 3.2 Measurement Principle The ambiguous range D a = c 2PRF and V a = λP RF 4 are incompatible with the requirements. To overcome this difficulty one envisioned solution is to use a dual polarization radar with interleaved pulses (more details on such a method applied to ground-based radars can be found for instance in Pazmani et al. JAOT, 1999). Fig. 4 illustrates the general principle of the Horizontal (H) and Vertical (V) interleaved pulses: by transmitting close pairs of H and V pulses separated by a longer time lag it is possible to build two pseudo PRFs: PRF HV (corresponding to T HV and PRF (corresponding to T ). In principle, using the pulse pair technique in a non-polarizing medium, nd referring to Fig. 4, the Doppler velocity could be computed as: V R = - λ 4πT HV Arg ( E H (t)E * V (t + T HV ) ) . In a medium where H and V polarizations are affected differently, the differential phase Φ DP has to be introduced in the previus equation. It becomes then necessary to trans- mit trains of pulses as HV-VH instead of HV-HV (as drawn on Fig. 4) and the one equation becomes a system of two equations with two unknowns and the Doppler velocity can be computed as: V R = - λ 8πT HV ( Arg ( E H (t)E * V (t + T HV ) ) + Arg ( E V (t + T )E * H (t + T + T HV ) )) Figure 4: Illustration of the interleaved transmission of orthonormal pulses in Horizontal (H) and Vertical (V) polarization allowing to combine two pseudo PRF: PRF HV and PRF . Figure 5: On the left-hand side, in the case of a mechanical scan- ning instrument, the horizontal cross-section at 15 km altitude of the Doppler velocity measured for an ideal case of constant easttward wind (u =5m.s -1 ) is represented. The satellite has a eastward ve- locity of 7km.s -1 . The on-board angle of sight is 45 o leading to a 550km swath. On the right-hand side, under the same hypothe- sis, the measured Doppler velocity for the electronic scanning radar looking sideways (elevation nadir to 45 o ) leading to a 200 km swath (only the forward (+45 o and backward (-45 o ) sampling are shown for the sake of clarity). 4 Retrieval Fig. 6 shows an example of u and w wind components retrieval in a rather “favorable” case. The Doppler simulation was performed by A. Battaglia with the DOMUS software (Battaglia and Tanelli, IEEE, 2010) from a cloud model simulation of a convective cell. The simulated radar reflectivity and Doppler at 94 GHz are given for an instrument looking only 45 o forward and backward of the sub-satellite point, leading to a densely populated sampling. The simulated Doppler takes into account multiple scattering that can eventually arise at 94 GHz and the NUBF effects due to the radar footprint size. The retrieval technique set up here is a least-square fit of the u and w fields over the Doppler measurements. It shows that although strong biases can be observed locally in the retrieval (e. g. base of the convective updraft), the general structure and intensities are rather well captured. The noise level is substantial but it could probably be smoothed out using the air-mass continuity equation for instance. The surface effects visible at the very bottom of the retrieved figures would not be present in the true situation since with the polarized measurement, in addition to ground clutter contamination, a shadow zone of ambiguous return might persist up to 3 km altitude. Other retrieval tests (not shown here) in 3D but not accounting for NUBF and multiple scattering have shown that the errors on u, v and w will depend on the sampling strategy that will be chosen and for one of these sampling strategy, will depend on the region of the volume. Nevertheless, with a Gaussian noise of standard deviation of the order of 1m.s -1 , the average error on the vertical velocity w over the whole domain is about 1m.s -1 also. In the future, more elaborate techniques will be used. Figure 6: Vertical cross-section of horizontal (u, left-hand side) and vertical (w, right-hand side) wind as simulated (top) and retrieved (bottom) from the Doppler signal simulated by the DOMUS software by A. Battaglia. 5 Conclusions The DYCECT/BOITATA mission is a concept for the post-GPM era meant to perform rain retrieval but also more thorough water and en- ergy budgets by adding the dynamics information into the equations. In addition to a classical imager/sounder passive microwave radiome- ter (19-183 GHz), the mission would carry a mm/sub-mm (243-664 GHz) instrument to study thinner ice cloud microphysical properties. A broadband VIRS would be used to compute the radiative budget TOA to close the energy budget The most challenging instrument would be a scanning Doppler radar. Two possible frequencies are considered either 35 or 94 GHz, each with pros and cons: 95 GHz is more sensitive to ice particles and has a bet- ter beam width for a fixed antenna size but is more attenuated in rain and can be subject to multiple scattering; 35 GHz will give more in- formation in the warm part of the cloud but the beam size will be a substantial disadvantage. The system would have to be dual polarized to overcome the PRF/ambiguous velocity/ambiguous distance constraints. This dual polarization system will be more complicated to implement but could be used to perform microphysics studies taking advantage of the polarimetric variable the same way ground-based radar do. Two sampling geometries are being studied: a classical dish with me- chanical scanning describing a spiral-like pattern at the Earth surface and a side-looking electronically scanning system. Both systems are meant to provide at least 3 independent measurements of the Doppler velocity in a 3-dimensional grid that will further be used to retrieve the three components of the wind field in a 3-dimensional domain. These are some preliminary results and will be consolidated in the near future under CNES funding.

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P1.19: Post-GPM rain retrieval and 3-D wind retrieval: the DYCECT

mission.Nicolas Viltard, Audrey Martini, Yvon Lemaıtre

LATMOS, IPSL, INSU/CNRS-Universite Versailles Saint-Quentin, 11 bd d’Alembert, 78280 Guyancourt, Francecontact: [email protected]

1 Context

In 2010 the French CNES (Centre National d’Etudes Spatiales) andthe Brazilian INPE (Instituto Nacional de Pesquisas Espaciais) con-duced a phase-0 study for a space mission called BOITATA. This mis-sion was meant to be a follow-on of the Indo-French mission Megha-Tropiques. The project was not carried beyond phase 0 but the generalconcept was validated and more specifically, CNES expressed an inter-est for one of the proposed instruments: the scanning Doppler radar.The access to information about the dynamics of convection, even atmoderate spatial and temporal resolution is probably the next big chal-lenge for space-borne remote sensing. Over the last couple of decades,an innumerable number of field experiment has taken place all over theworld but these are not best suited to build a robust statistics of theproperties of the dynamics of convection. A space-borne measurementof the Doppler velocities would allow to improve our knowledge on themass and energy budget of convection. EarthCare (ESA-JAXA) is thefirst step toward this direction but the measurements (94 GHz radar)will be limited to the satellite nadir, giving access only to the verticalwind component, w. ADM-AEOLUS (ESA, lidar ALADIN side looking@ 35 off-nadir) will also provide some wind profiling but will be quicklyattenuated in the presence of deep clouds or precipitation.More generally, the community interested in rain retrievals and rain es-timates should ask itself if the post-GPM system should be driven bypassive radiometers, by radars or by a balanced mix of both.

Figure 1: One of the considered scenario for the PMR (image AS-TRIUM). The general design is derived from MADRAS/SAPHIR(LF channels) with the additional mm/sub-mm channels (HF chan-nels) accommodated at the ”back”.

2 Mission Concept

Although we will be more specifically presenting some pre-studies aboutthe Doppler radar measurement hereafter, the global mission concept pro-posed in BOITATA was geared toward the general understanding of theconnection between cold-cloud microphysics and dynamics in the tropicalconvection. To this specific purpose, the satellite is carrying a set of 3instruments.The first instrument is a broad-band VIRS radiometer of ScaraB heritagedesigned to measure the TOA radiative budget with improved capabilitiesin terms of cloud top imaging.The second instrument is a conical scanning radiometer (Fig. 1) cov-ering the usual set of channels from 19 to 157 GHz with sounding ca-pabilities at 183 GHz ((183 GHz ±0.2,±1.1,±2.7,±4,±6.6)), but alsoexploring the mm/sub-mm wavelength (243, 325.15 ±1.5,±3.5,±9.5, 448±1.4,±3,±7.2 et 664 GHz). The general design is a MADRAS heritagewith the addition of the SAPHIR channels. The mm/sub-mm channelsare mounted on a independent reflector at the back of the main system.The Low (LF, 18-183 GHz) and the High (HF, 243-664 GHz) Frequenciesshare the same rotating deck but are shifted by 180o. The co-locationbetween the HF and the LF is performed afterward through the Level-0to Level 1 processing.The third instrument is a Doppler scanning radar described hereafter.

Figure 2: Schematic of a phased-array electronic scanning configura-tion where Doppler measurements (VD)are made for various eleva-tion (corresponding to various incidence angles α). The number andselection of these incidence angles will define the swath. One mea-surement is perpendicular to the satellite displacement (V), one isforward (+θ) and the last one is backward (−θ). The satellite fliesat altitude ZS (Concept Thales Alenia Space).

3 Radar Concepts

3.1 General Principle

Measurement of Doppler velocities of the order of 1m.s−1 on a satellitemoving at about 7km.s−1 is a challenging task. Complex effects ofcontamination of the satellite motion within the radar beam have to beaccounted for and the first constraint is to keep the said beam as narrowas possible. In order to keep the antenna size within the 1− 1.2m range,the only possible frequencies for the radar are either Ka (35 GHz) or W(94 GHz).Both frequencies are attenuated to some extent. The 35 GHz less so, butit would offer a larger beam width for the same dish size, which wouldincrease the platform velocity contamination effect and the Non-UniformBeam-Filling (NUBF). On the other hand, the 94 GHz is very good forsmall ice crystal detection and ice cloud studies but it can be affected bymore multiple scattering in regions where ice is highly concentrated andit is very much attenuated in the warm cloud part. This last drawbackof the 94 GHz has to be considered keeping in mind that the radar willhave a blind region of about 2 to 4 km anyway near the surface (groundclutter and H/V surface echo disambiguation).

Figure 3: Same as Fig. 2 but for a mechanical scanning system. Theantenna is a classical dish rotating around a vertical axis, which givesa constant incidence angle at the surface. The combination of thesatellite motion and the antenna rotation lead to a spiral-like patternof the beam at the surface. This allows a Doppler measurement alongvarious non-colinear directions.

3.2 Measurement Principle

The ambiguous rangeDa =c

2PRF and Va =λPRF

4 are incompatible withthe requirements. To overcome this difficulty one envisioned solution isto use a dual polarization radar with interleaved pulses (more details onsuch a method applied to ground-based radars can be found for instancein Pazmani et al. JAOT, 1999). Fig. 4 illustrates the general principleof the Horizontal (H) and Vertical (V) interleaved pulses: by transmittingclose pairs of H and V pulses separated by a longer time lag it is possibleto build two pseudo PRFs: PRFHV (corresponding to THV and PRF(corresponding to T ).In principle, using the pulse pair technique in a non-polarizing medium,nd referring to Fig. 4, the Doppler velocity could be computed as:VR = − λ

4πTHVArg

(EH(t)E∗

V (t + THV )). In a medium where H and

V polarizations are affected differently, the differential phase ΦDP has tobe introduced in the previus equation. It becomes then necessary to trans-mit trains of pulses as HV-VH instead of HV-HV (as drawn on Fig. 4) andthe one equation becomes a system of two equations with two unknownsand the Doppler velocity can be computed as:

VR = − λ

8πTHV

(Arg

(EH(t)E∗

V (t + THV ))+ Arg

(EV (t + T )E∗

H(t + T + THV )))

Figure 4: Illustration of the interleaved transmission of orthonormalpulses in Horizontal (H) and Vertical (V) polarization allowing tocombine two pseudo PRF: PRFHV and PRF .

Figure 5: On the left-hand side, in the case of a mechanical scan-ning instrument, the horizontal cross-section at 15 km altitude ofthe Doppler velocity measured for an ideal case of constant easttwardwind (u = 5m.s−1) is represented. The satellite has a eastward ve-locity of 7km.s−1. The on-board angle of sight is 45o leading to a≈ 550km swath. On the right-hand side, under the same hypothe-sis, the measured Doppler velocity for the electronic scanning radarlooking sideways (elevation nadir to 45o) leading to a 200 km swath(only the forward (+45o and backward (−45o) sampling are shownfor the sake of clarity).

4 Retrieval

Fig. 6 shows an example of u and w wind components retrieval in arather “favorable” case. The Doppler simulation was performed by A.Battaglia with the DOMUS software (Battaglia and Tanelli, IEEE, 2010)from a cloud model simulation of a convective cell. The simulated radarreflectivity and Doppler at 94 GHz are given for an instrument lookingonly 45o forward and backward of the sub-satellite point, leading to adensely populated sampling. The simulated Doppler takes into accountmultiple scattering that can eventually arise at 94 GHz and the NUBFeffects due to the radar footprint size.The retrieval technique set up here is a least-square fit of the u and wfields over the Doppler measurements. It shows that although strongbiases can be observed locally in the retrieval (e. g. base of the convectiveupdraft), the general structure and intensities are rather well captured.The noise level is substantial but it could probably be smoothed out usingthe air-mass continuity equation for instance. The surface effects visibleat the very bottom of the retrieved figures would not be present in thetrue situation since with the polarized measurement, in addition to groundclutter contamination, a shadow zone of ambiguous return might persistup to 3 km altitude.Other retrieval tests (not shown here) in 3D but not accounting for NUBFand multiple scattering have shown that the errors on u, v and w willdepend on the sampling strategy that will be chosen and for one of thesesampling strategy, will depend on the region of the volume. Nevertheless,with a Gaussian noise of standard deviation of the order of 1m.s−1, theaverage error on the vertical velocity w over the whole domain is about1m.s−1 also.In the future, more elaborate techniques will be used.

Figure 6: Vertical cross-section of horizontal (u, left-hand side) andvertical (w, right-hand side) wind as simulated (top) and retrieved(bottom) from the Doppler signal simulated by the DOMUS softwareby A. Battaglia.

5 Conclusions

The DYCECT/BOITATA mission is a concept for the post-GPM erameant to perform rain retrieval but also more thorough water and en-ergy budgets by adding the dynamics information into the equations.In addition to a classical imager/sounder passive microwave radiome-ter (19-183 GHz), the mission would carry a mm/sub-mm (243-664GHz) instrument to study thinner ice cloud microphysical properties.A broadband VIRS would be used to compute the radiative budgetTOA to close the energy budgetThe most challenging instrument would be a scanning Doppler radar.Two possible frequencies are considered either 35 or 94 GHz, each withpros and cons: 95 GHz is more sensitive to ice particles and has a bet-ter beam width for a fixed antenna size but is more attenuated in rainand can be subject to multiple scattering; 35 GHz will give more in-formation in the warm part of the cloud but the beam size will be asubstantial disadvantage. The system would have to be dual polarized toovercome the PRF/ambiguous velocity/ambiguous distance constraints.This dual polarization system will be more complicated to implementbut could be used to perform microphysics studies taking advantage ofthe polarimetric variable the same way ground-based radar do.Two sampling geometries are being studied: a classical dish with me-chanical scanning describing a spiral-like pattern at the Earth surfaceand a side-looking electronically scanning system. Both systems aremeant to provide at least 3 independent measurements of the Dopplervelocity in a 3-dimensional grid that will further be used to retrieve thethree components of the wind field in a 3-dimensional domain.These are some preliminary results and will be consolidated in the nearfuture under CNES funding.