ó ø`9Sc@sSddlZddlmZddlTddlTdgZdefd„ƒYZdS(iÿÿÿÿN(ttxt(t*tPreparedLidarInputcBsYeZdZejedddƒedddƒedddƒedd d ƒed d d ƒed dd ƒeddd ƒeddddeƒedddejƒedddejƒedddejƒedddejƒeddd deƒg Zd gZ d!Z d"Z d#Z d$Z d%„Zd&d'„Zd&d(„Zd)„Zd&d*„ZRS(+s÷Lidar measurement at a single wavelength, prepared for aerosol profile retrieval and supplemented with molecular atmosphere profiles. Attributes (in addition to those defined in 'LidarInput'): - 'firstInputIndex', 'lastInputIndex': first and last indices of data selected for aerosol retrieval (with respect to the data grid defined by 'LidarInput.gridStep' and 'LidarInput.gridZenithAngle'). - 'refPointIndex': index of the lidar signal normalization point. - 'refMolBackscatter': molecular backscatter at the reference point (for the unpolarized lidar channel). - 'molThicknessError', 'aerosolThicknessError', 'totalBackscatterError': estimated values for relative errors of molecular optical thickness, aerosol optical thickness and total (molecular + aerosol) backscatter coefficient used in the dispersion calculation. - 'atmoModel': textual identifier for the molecular atmosphere model used during the export procedure: 'STD' for International Standard Atmosphere 1976, 'CIRA' for COSPAR International Reference Atmosphere 1986, and 'CUST' for a custom molecular atmosphere model. - 'normalizedSignal': Numpy array holding the lidar signal, normalized to the reference point. Index zero of the array corresponds to 'firstInputIndex' of the data grid; array length is 'lastInputIndex - firstInputIndex + 1'. - 'lidarDispersion': Numpy array holding weighting coefficients for lidar signal equations (same dimensions as in 'normalizedSignal'). - 'molBackscatter': Numpy array holding molecular backscatter coefficients for the unpolarized lidar channel (same dimensions as in 'normalizedSignal'). - 'molThickness': Numpy array holding molecular optical thickness relative to the reference point (same dimensions as in 'normalizedSignal'). - 'lidarRefValue': averaged value of the lidar signal at the reference point.tfirstInputIndextLefttSMALLINTtlastInputIndextRightt refPointIndextRPtrefMolBackscattertBRMtSINGLEtmolThicknessErrorsRE OMTtaerosolThicknessErrorsRE OATttotalBackscatterErrorsRE GBSt atmoModelt AtmoModeltVARCHARtrequiredtnormalizedSignalsEffective Valuet LONGBINARYtlidarDispersionsDispersion ValuetmolBackscattersMolecular Modelt molThicknesssOptical Thicknesst lidarRefValuetRefValt TropoExports@ WHERE TropoExport < 0 OR TropoExport = 32767 OR TropoExport = 1sPLidar input file is not a valid Access database or may not be opened for readings8Lidar input: failed to query data from the database files$Lidar input file format is invalid: cCs)|jƒ|j|j|jd|j!S(s×Return a view of 'self.getZenithAngles()' array representing only those data that have been selected for aerosol retrieval, so that array dimensinons are fully compatible with 'normalizedSignal' etc.i(tgetZenithAnglesRtfirstDataIndexR(tself((scode\PreparedLidarInput.pytgetInputZenithAnglesks  gcCs|j|j||ƒS(sReturn molecular backscatter coefficient at the reference point, corrected according to polarization of the 'self' lidar measurement.(tcorrectMolBackscatterR (RtmolDepolarizationtparallelLeakage((scode\PreparedLidarInput.pytgetCorrectedRefMolBackscatterts cCs|j|j||ƒS(sŠReturn Numpy array holding molecular backscatter coefficients corrected according to polarization of the 'self' lidar measurement.(R R(RR!R"((scode\PreparedLidarInput.pytgetCorrectedMolBackscatter|s cCs tj|ƒ}|dk r|SxC|jƒD]5}t||ƒdkr,dtj|j|ƒƒSq,W|j|j kr©dtj|jdƒƒtj|jdƒƒfS|j|j ksÍ|j |j kr)dtj|jdƒƒtj|jdƒƒtj|jdƒƒtj|jdƒƒfS|j |jkrmdtj|jd ƒƒtj|jdƒƒfS|j |jd }x„dD]|}t||ƒ}t |ƒ|krˆt |ƒ|j}||j}dtj|j|ƒƒtj|ƒtj|ƒfSqˆWdS(s}Return an error message describing the malformed data or 'None' if all attribute values are plausible and consistent.s"%s database field contains no datas0%s and %s database field values are inconsistentRRs?%s and %s database field values are inconsistent with %s and %sRt lastDataIndexs*%s database field value is smaller than %sRiRRRRs7size of the %s database field is %s bytes instead of %sN(RRsmolBackscatterR(t LidarInputtgetErrorMessagetNonetgetRequiredAttributeNamestgetattrRtquotet getFieldNameRRRR%Rtlentitemsizet quoteNumber(Rt baseMessagetnametinputArrayLengthtvaluet valueBytest requiredBytes((scode\PreparedLidarInput.pyR'„sB    cCsY|jdkr|S|jdkr2dd||S|jdkrU||d||SdS(sóTransform the given molecular backscatter coefficient for the unpolarized lidar channel (either scalar on an array) into an appropriate one for the 'self' lidar measurement. Return corrected version of the coefficient.iiigð?iN(ii(t polarization(Rt betaTotalR!R"((scode\PreparedLidarInput.pyR ¹s (t__name__t __module__t__doc__R&tfieldst DataFieldtFalsetnumpytfloat32textraFieldNamestselectStatementExtraTexttopenDatabaseErrorMessagetqueryFailureErrorMessagetinvalidFormatErrorPrefixRR#R$R'R (((scode\PreparedLidarInput.pyRs:%            6(R>t common.utilsRtcommon.DataRecordR&t__all__R(((scode\PreparedLidarInput.pyts